diff --git a/rag-agentic-dashboard/public/ai-safety-report.html b/rag-agentic-dashboard/public/ai-safety-report.html new file mode 100644 index 00000000..ec94e89b --- /dev/null +++ b/rag-agentic-dashboard/public/ai-safety-report.html @@ -0,0 +1,316 @@ + + + + +GOVHUB-SAFETY-WP-025 — AI Safety Report Generator + + + + + + + + + + +
+ Generator Online + -- + -- + -- + -- +
+ + + +
+
+ + +
+

Report Generator Dashboard

+
+
+

Reports by Type

+

Alignment Test Pass Rates

+
+

Approval Pipeline Status

+
+

Latest Reports

+
+
+ + +
+

Safety Report Types (6 Templates)

+
+
+ + +
+

Report Template Structure (12 Sections)

+

Each safety report follows a standardized 12-section template with auto-populated fields and approval gates.

+
+
+ + +
+

Multi-Stage Approval Workflow

+
+
+
+ + +
+

Recent Safety Reports

+
+
+ + +
+

Alignment Verification Data

+
+

Test Suite Results by Category

+
+
+ + +
+

Containment Strategy Layers

+
+
+ + +
+

Self-Multiplying AI System Controls

+
+
+
+ + +
+

Rich-Text Editor & PDF Export

+
+

Editor Configuration

+

PDF Export Engine

+
+

Version Control

+
+ + +
+

API Explorer — Safety Report Generator

+

All safety report endpoints available for integration.

+
+

Response Inspector

+
Select an endpoint to inspect.
+
+ +
+ + + + + + + \ No newline at end of file diff --git a/rag-agentic-dashboard/public/governance-hub.html b/rag-agentic-dashboard/public/governance-hub.html new file mode 100644 index 00000000..0f264f0c --- /dev/null +++ b/rag-agentic-dashboard/public/governance-hub.html @@ -0,0 +1,622 @@ + + + + +GOVHUB-SAFETY-WP-025 — Enterprise AI Governance Hub & AI Safety Report Generator + + + + + + + + + + + + + +
+ API Online + -- + -- + -- + -- + -- +
+ + + + +
+
+ + +
+

Executive Governance Dashboard

+
+
+
Compliance Framework Scores
+
Model Inventory by Category
+
+
+
Policy Rule Distribution (OPA + Sentinel)
+
Department Adoption — WorkflowAI Pro
+
+

Sentinel v2.4 — Platform Component Status

+
+

Recent Incidents

+
+
+ + +
+

Sentinel AI Governance Platform v2.4 Meridian

+

Distributed microservices + Kafka event-driven + OPA/Sentinel dual-engine policy-as-code

+
+

Platform Components

+

System Integrations

+

Policy Rule Distribution by Category

+

Real-Time Telemetry

+

Platform Roadmap

+
+ + +
+

WorkflowAI Pro Integration v3.2.0

+

Core Capabilities

+

Adaptive Learning Engine

+

Recommendation Types

+

Workflow Templates (8 Governance Templates)

+

Department Adoption

+

Feedback System

+
+ + +
+

AI Safety Report Generator v2.1.0

+
+

Report Types

+

Report Sections (Template Structure)

+

Approval Workflow

+

Recent Reports

+
+

Version Control & Diff Engine

+

PDF Export Configuration

+
+

Rich-Text Editor

+
+ + +
+

Regulatory Compliance Views

+
+

EU AI Act — Article-Level Compliance

+

EU AI Act — Gap Remediation

+

NIST AI RMF 1.0 — Function Compliance

+

ISO/IEC 42001:2023 — Clause Compliance

+

Tamper-Evident Audit Logging

+
+ + +
+

AI Model Inventory & Data Governance

+
+

Models by Category

+

Data Governance Metrics

+
+ + +
+

AGI/ASI Governance & Safety Controls

+
+

Alignment Verification Test Suite

+

Containment Strategy Layers

+

Self-Multiplying AI Controls

+

Autonomous Agent Business Case

+
+ + +
+

Enterprise AI Agent Interoperability Protocol (EAIP/1.0)

+

EAIP-SPEC-2026-001 | Status: RATIFIED | Invariant: No long-lived API keys — identity is ephemeral and attestation-derived

+
+

Transport Bindings

+

Message Formats

+

Security Model

+

Agent Capability Taxonomy

+

Conformance Testing

+
+ + +
+

Global AI Governance & International Cooperation

+
+

International Cooperation Mechanisms

+
+ + +
+

Core AI Principles & Ethical Guidelines

+
+
+ + +
+

Proactive Risk Mitigation

+

Mitigation Strategies

+

Enterprise Risk Register

+
+ + +
+

Implementation Timeline 2026–2030

+
+

Program Phases

+

KPI Trajectory (2026–2030)

+
+ + +
+

Document Management System GDE v2.1

+
+

Document Categories

+

Recent Documents

+
+

Version Control

+

Search Capabilities

+
+
+ + +
+

Gamification — Governance Maturity Points (GMP)

+

Levels

+

Achievement Badges

+

Team Leaderboard

+
+ + +
+

Accessibility — WCAG 2.1 Level AA

+

Compliance Features

+

UX Design Patterns

+
+ + +
+

Backend Error Handling & Resilience

+

Architecture Patterns

+

Circuit Breaker Status

+

Health Check Dependencies

+
+

Retry Policy

+

Rate Limiting

+
+

Governance Error Codes

+
+ + +
+

API Explorer — GOVHUB-SAFETY-WP-025 v1.1.0

+

106 REST endpoints across 18 domains. Click any endpoint to inspect the live response.

+
+

Response Inspector

+
Select an endpoint above to inspect the live JSON response.
+
+ +
+ + + + + + + + \ No newline at end of file diff --git a/rag-agentic-dashboard/public/institutional-agi-blueprint.html b/rag-agentic-dashboard/public/institutional-agi-blueprint.html new file mode 100644 index 00000000..0cc23235 --- /dev/null +++ b/rag-agentic-dashboard/public/institutional-agi-blueprint.html @@ -0,0 +1,1027 @@ + + + + +INST-AGI-BLUEPRINT-WP-026 — Institutional AGI/ASI Governance Master Reference Blueprint 2026-2030 + + + + + + + + + + + + + +
+ API Online + 68 Endpoints + 8 Pillars + 11 Artifacts + 10+ Regulatory Frameworks + -- +
+ + + + +
+
+ + + + +
+

Executive Overview — 8 Pillars of AGI Governance

+

Master reference blueprint for Boards, CROs, CAIOs, CISOs, and global regulators of Fortune 500, Global 2000, and G-SIFIs deploying AGI/ASI-capable systems.

+ +
+
8
Governance Pillars
+
482
OPA Rules
+
1,247
Sentinel Rules
+
1.4M
Daily Evaluations
+
2,847
Alignment Tests
+
144
Terraform Resources
+
$68.4M
5-Year Investment
+
$118.7M
NPV
+
42.1%
IRR
+
96.7%
Alignment Pass Rate
+
312
Kafka ACL Rules
+
11
Tech Artifacts
+
+ +

Pillar Architecture

+
+
+
P1
EU AI Act 2026 Enforcement
+
High-Risk AI & GPAI transparency & conformity assessments. 88 OPA rules, 232 Sentinel rules, 8 HR categories. Enforcement: 2026-08-02.
+
+
+
P2
ISO/NIST CI/CD & Telemetry
+
ISO/IEC 42001 AIMS (93.2%) & NIST AI RMF (94.8%) integrated into 7-stage CI/CD pipeline with OpenTelemetry.
+
+
+
P3
G-SIFI Financial Regulatory Nexus
+
SR 11-7 evolution, FCRA/ECOA explainability (94.7%), Basel III/IV operational risk evidence bundles.
+
+
+
P4
Three Lines of Defense & HITL
+
SEV-0 to SEV-3 escalation matrix, dual-key authorization, meaningful human oversight (Art. 14 EU AI Act).
+
+
+
P5
Trust Stack & Governance-as-Code
+
Terraform (144 resources), OPA/Rego (482 rules), Kafka (45K events/s), WORM (10-yr retention), evidence bundles.
+
+
+
P6
Financial-Services MRM
+
Trading AI (156 models), Credit AI (89 models), Fiduciary Advisors (45 models) — SR 11-7, MiFID II, Reg BI.
+
+
+
P7
Frontier AGI Safety & Alignment
+
5-layer containment, 6 alignment strategies, constitutional AI, mechanistic interpretability, kill-switch < 100ms.
+
+
+
P8
Timeline, Costs & Checklist
+
100-day rollout ($14.2M), 5-year roadmap ($68.4M), NPV $118.7M, IRR 42.1%, 12 regulator-ready checklist items.
+
+
+ +

Companion Documents

+
+
MREF-GSIFI-WP-023
Master Reference
+
GSIFI-REFARCH-WP-024
Six-Layer Architecture
+
GOVHUB-SAFETY-WP-025
Governance Hub
+
EAIP-SPEC-2026-001
EAIP Specification
+
+ +

Regulatory Compliance Radar

+
+
Framework Compliance Scores
+
+
89.4%
EU AI Act
+
94.8%
NIST RMF
+
93.2%
ISO 42001
+
94.7%
FCRA/ECOA
+
88.9%
Basel III
+
92.3%
SR 11-7
+
96.1%
GDPR
+
91.6%
OECD
+
+
+
+ + + + +
+

Pillar 1: EU AI Act 2026 Enforcement — High-Risk AI & GPAI

+

Full enforcement date: 2026-08-02 | Regulatory body: EU AI Office + National Competent Authorities

+ +
+
88
OPA Rules (HR)
+
232
Sentinel Rules (HR)
+
8
HR Categories
+
2
GPAI Tiers
+
3
Transparency Arts
+
45 days
Avg Self-Assessment
+
+ +

Penalty Regime

+
+
7%
Prohibited AI
or €35M
+
3%
High-Risk Violation
or €15M
+
1%
Misinformation
or €7.5M
+
Max
€35M or 7%
global turnover
+
+ +

High-Risk AI Classification (Annex III)

+ + + +
IDCategoryAnnexOPA RulesSentinel RulesBanking Exposure
+ +

GPAI Obligations (Title IIIa)

+
+ +

Transparency Assessments

+ + + +
ArticleRequirementImplementationStatusScore
+ +

Conformity Assessment Pathways

+
+
+ + + + +
+

Pillar 2: ISO/IEC 42001 AIMS & NIST AI RMF in CI/CD & Telemetry

+ +
+
93.2%
ISO 42001 Score
+
94.8%
NIST RMF Score
+
7
CI/CD Stages
+
42
Metrics Collected
+
4
Dashboard Tiers
+
10-15 yr
Data Retention
+
+ +

ISO/IEC 42001 AIMS Clause Integration

+

Certification Status: IN PROGRESS — Audit scheduled Q3 2026

+ + + +
ClauseComponentCI/CD IntegrationTelemetryScore
+ +

NIST AI RMF Functions

+
+
NIST AI RMF Function Scores
+
+
+ + + +
FunctionDescriptionCI/CD MappingSubcategoriesScore
+ +

7-Stage CI/CD Governance Pipeline

+
+ +

Telemetry Integration

+
+
+ + + + +
+

Pillar 3: G-SIFI Financial Regulatory Nexus

+ +
+
94.7%
FCRA/ECOA Compliance
+
5
SR 11-7 Evolution Areas
+
4
Basel Requirements
+
67%
Validation Automation
+
4.8s
Evidence Gen p99
+
10 yr
Retention Min
+
+ +

SR 11-7 Evolution for AI/ML Models

+ + + +
AreaTraditionalAI-EvolvedImpactPolicy Rules
+ +

FCRA/ECOA Explainability Requirements

+ + + +
IDRequirementImplementationComplianceOPA Rules
+ +

Basel III/IV Operational Risk Evidence

+ + + +
IDAreaDescriptionEvidenceImplementation
+ +

Evidence Bundle Configuration

+
+
+ + + + +
+

Pillar 4: Three Lines of Defense, Incident Escalation & HITL

+ +
+
3
Defense Lines
+
4
Severity Levels
+
4
HITL Principles
+
4
Deployment Gates
+
<5 min
SEV-0 Detection
+
100%
Fallback Coverage
+
+ +

Three Lines of Defense

+
+ +

Incident Escalation Matrix

+
+ +

HITL Principles

+ + + +
IDPrincipleDescriptionImplementation
+ +

Deployment Gates (Human-Required)

+ + + +
GateNameRequired ForApproverAvg Wait
+
+ + + + +
+

Pillar 5: Enterprise AI Trust Stack & Governance-as-Code

+ +
+
12
Terraform Modules
+
144
Resources
+
482
OPA Rules
+
45K/s
Kafka Events
+
312
Kafka ACLs
+
10 yr
WORM Retention
+
4.2ms
OPA p99 Latency
+
99.97%
OPA Availability
+
+ +

Terraform IaC Modules (AWS)

+ + + +
ModuleResourcesDescriptionSecurity Controls
+ +

OPA/Rego Policy Groups

+
+
OPA Policy Group Distribution (482 Rules)
+
+
+ +

Kafka Streaming & Governance Telemetry

+
+
+

Cluster Configuration

+
+
+
+

Key Topics

+
+
+
+ +

WORM Storage & Evidence Bundles

+
+
+ + + + +
+

Pillar 6: Financial-Services Model Risk Management

+ +
+
156
Trading Models
+
89
Credit Models
+
45
Fiduciary Models
+
<100ms
Kill-Switch
+
0.84
Current DI
+
7
Protected Classes
+
+ +
+
+ + + + +
+

Pillar 7: Frontier AGI Safety, Containment & Alignment

+ +
+
96.7%
Alignment Pass Rate
+
2,847
Alignment Tests
+
ARMED
Kill-Switch Status
+
<100ms
Kill-Switch Latency
+
5
Containment Layers
+
6
Alignment Strategies
+
0.02%
False Reject Rate
+
PASS
Last Test Result
+
+ +

Containment Layers (Defense in Depth)

+
+ +

Alignment Strategies

+ + + +
IDStrategyMethodologyTest SuitePass Rate
+ +

Kill-Switch Configuration

+
+ +

HardwareEnclaveAttestor

+
+
+ + + + +
+

Pillar 8: 2026-2030 Implementation Timeline, Costs & Regulator-Ready Checklist

+ +
+
$68.4M
Total Investment
+
$118.7M
NPV
+
42.1%
IRR
+
2.1 yr
Payback Period
+
$52.3M
Annual Savings
+
25-35
FTE Required
+
+ +

100-Day AGI Governance Rollout (CAIO & CRO)

+
+ +

5-Year Investment Roadmap

+
+
Annual Investment & Compliance Trajectory (2026-2030)
+
+
+ + + +
YearInvestmentFocusKey DeliverableCompliance
+
+ + + + +
+

Technical Artifacts (11 Deliverables)

+

Detailed specifications: Terraform, OPA, CI/CD, React dashboards, Flask proxy, CLI tools, GitHub Actions, zero-trust middleware, IAM/Kafka ACLs, SEV-0 playbooks, and repository architecture.

+ +
+ +

AGI-TRADER-PROD-01 War-Game Scenario

+
+
+
Autonomous Trading CascadeCONFIDENTIAL
+
Classification: Board Risk Committee
+
+
+
$2.8B
Notional Exposure
+
23s
Detection Time
+
44s
Kill-Switch Response
+
$12.4M
Realized Loss
+
+

War-Game Timeline

+
+
+ +

War-Game Lessons Learned

+ + + +
IDLessonRemediationStatusInvestment
+ +

ICGC Charter

+
+ +

Continuous Compliance Engine (Python)

+ + + +
ComponentDescriptionMetrics
+ +

React AGI Governance Command Center

+ + + +
DashboardAudienceKey Features
+ +

Flask AGI Containment Proxy

+ + + +
FeatureDescriptionStatus
+ +

GitHub Actions Governance Pipeline

+ + + +
WorkflowTriggersStepsGatesDescription
+ +

FCRA/ECOA/GDPR Zero-Trust Middleware

+ + + +
RegulationControlDescriptionEnforcement
+ +

AuditorWORMVerifier CLI

+ + + +
CommandDescriptionRuntime / Detail
+ +

AWS IAM Roles

+ + + +
RolePermissionsSessionMFA
+ +

SEV-0 Incident Response Playbook

+
+ +

Repository Reference Architecture

+ + + +
DirectoryDescriptionContents
+
+ + + + +
+

Regulator-Ready Checklist (12 Items)

+ +
+
--
Complete
+
--
In Progress
+
--
Total Items
+
--
Completion Rate
+
+ + + + +
IDItemRegulatorStatusEvidence
+
+ +
+ + + + + + + + + + diff --git a/rag-agentic-dashboard/server.js b/rag-agentic-dashboard/server.js index 79a1bc4c..51be08a8 100644 --- a/rag-agentic-dashboard/server.js +++ b/rag-agentic-dashboard/server.js @@ -16070,6 +16070,1888 @@ app.get('/api/gsifi-refarch/metrics', (_, res) => { }); +// ══════════════════════════════════════════════════════════════════════════════ +// SECTION: ENTERPRISE AI GOVERNANCE HUB & AI SAFETY REPORT GENERATOR +// Document: GOVHUB-SAFETY-WP-025 v1.0.0 +// Scope: Fortune 500, 2026-2030, Sentinel v2.4, WorkflowAI Pro, EAIP, WCAG AA +// ══════════════════════════════════════════════════════════════════════════════ + +const GOV_HUB = { + meta: { + documentReference: 'GOVHUB-SAFETY-WP-025', + title: 'Enterprise AI Governance Hub & AI Safety Report Generator', + version: '1.0.0', + date: '2026-04-11', + classification: 'CONFIDENTIAL — C-Suite / AI Governance / Enterprise Architecture / Safety Engineering', + scope: 'Fortune 500 enterprises deploying AGI-capable systems (2026-2030)', + components: ['Governance Hub Dashboard', 'AI Safety Report Generator', 'Sentinel AI Platform v2.4', 'WorkflowAI Pro', 'EAIP Protocol Engine'], + wcagLevel: 'AA', + firebaseAuth: true, + pdfExport: true, + richTextEditor: true, + reportVersioning: true + }, + + // ═══════════════════════════════════════════════════ + // SENTINEL AI GOVERNANCE PLATFORM v2.4 + // ═══════════════════════════════════════════════════ + sentinel: { + version: '2.4.0', + codename: 'Meridian', + releaseDate: '2026-03-15', + architecture: 'Distributed microservices + event-driven (Kafka) + policy-as-code (OPA/Sentinel)', + components: [ + { id: 'SENT-01', name: 'Policy Engine', version: '2.4.0', status: 'ACTIVE', description: 'OPA Rego + HashiCorp Sentinel dual-engine policy evaluation', metrics: { rules: 1247, evaluationsPerDay: '1.4M', p99Latency: '4.2ms', availability: '99.97%' }}, + { id: 'SENT-02', name: 'Risk Scoring Engine', version: '2.4.0', status: 'ACTIVE', description: '12-dimension AI Risk Score (ARS v2.0) with real-time recalculation', metrics: { dimensions: 12, models: 847, recalcInterval: '15min', accuracy: '94.2%' }}, + { id: 'SENT-03', name: 'Drift Detection', version: '2.4.0', status: 'ACTIVE', description: 'Continuous model drift monitoring with automated alerting', metrics: { modelsMonitored: 312, driftAlerts: '2.3/day avg', falsePositiveRate: '3.1%', detectionLatency: '< 5min' }}, + { id: 'SENT-04', name: 'Compliance Automation', version: '2.4.0', status: 'ACTIVE', description: 'Automated compliance evidence generation and regulatory mapping', metrics: { frameworks: 8, controls: 186, evidenceBundles: '4.8s p99', auditReduction: '94%' }}, + { id: 'SENT-05', name: 'Incident Manager', version: '2.4.0', status: 'ACTIVE', description: 'AI-specific incident classification, escalation, and response automation', metrics: { severityLevels: 5, avgMTTR: '14min', autoRemediation: '67%', incidentsHandled: 1247 }}, + { id: 'SENT-06', name: 'Audit Trail', version: '2.4.0', status: 'ACTIVE', description: 'Tamper-evident Kafka WORM logging with Ed25519 signatures', metrics: { eventsPerSec: 45000, retention: '10yr', integrity: 'SHA-256 chain', storage: 'S3 WORM' }}, + { id: 'SENT-07', name: 'Kill-Switch Controller', version: '2.4.0', status: 'ARMED', description: 'Multi-layer emergency shutdown: hardware, software, network, resource throttle', metrics: { latency: '< 100ms', types: 4, dualApproval: true, lastTest: '2026-04-01' }}, + { id: 'SENT-08', name: 'Fairness Monitor', version: '2.4.0', status: 'ACTIVE', description: 'Real-time disparate impact monitoring with protected class analysis', metrics: { threshold: 'DI >= 0.80', protectedClasses: 7, modelsMonitored: 312, alerts: '0.8/day' }} + ], + integrations: [ + { system: 'WorkflowAI Pro', protocol: 'REST + WebSocket + Kafka', status: 'CONNECTED', latency: '12ms' }, + { system: 'EAIP Protocol Engine', protocol: 'gRPC + mTLS', status: 'CONNECTED', latency: '3ms' }, + { system: 'MLflow Model Registry', protocol: 'REST', status: 'CONNECTED', latency: '8ms' }, + { system: 'OPA Policy Engine', protocol: 'REST + Bundle', status: 'CONNECTED', latency: '2ms' }, + { system: 'Kafka Event Bus', protocol: 'Kafka + Schema Registry', status: 'CONNECTED', latency: '1ms' }, + { system: 'Firebase Auth', protocol: 'REST + JWT', status: 'CONNECTED', latency: '15ms' } + ], + roadmap: [ + { version: '2.5', date: 'Q3 2026', features: ['AGI containment protocols v2', 'Cross-border compliance automation', 'Natural language policy authoring'] }, + { version: '3.0', date: 'Q1 2027', features: ['Self-healing governance', 'Autonomous agent swarm monitoring', 'Quantum-resistant audit signatures'] }, + { version: '4.0', date: 'Q1 2028', features: ['ASI-grade containment', 'Global compute governance integration', 'Real-time regulatory sync'] } + ] + }, + + // ═══════════════════════════════════════════════════ + // WORKFLOWAI PRO INTEGRATION + // ═══════════════════════════════════════════════════ + workflowAI: { + version: '3.2.0', + description: 'Enterprise workflow orchestration with AI-powered recommendations and adaptive learning', + capabilities: [ + { id: 'WF-01', name: 'Workflow Recommendation Engine', description: 'ML-powered workflow suggestions based on task context, user role, and historical patterns', accuracy: '91.4%', latency: '120ms' }, + { id: 'WF-02', name: 'Adaptive Learning System', description: 'Continuously learns from user interactions to improve workflow efficiency', learningRate: '3.2% monthly improvement', dataPoints: '2.4M interactions' }, + { id: 'WF-03', name: 'Custom Workflow Templates', description: 'Role-based configurable templates for governance, compliance, audit, and safety workflows', templates: 47, categories: ['Governance Review', 'Model Validation', 'Incident Response', 'Regulatory Submission', 'Safety Assessment', 'Board Reporting', 'Audit Evidence', 'Risk Assessment'] }, + { id: 'WF-04', name: 'Approval Pipeline', description: 'Multi-stage approval workflows with role-based permissions and SLA enforcement', stages: 7, avgCycleTime: '2.3 days', slaCompliance: '94%' }, + { id: 'WF-05', name: 'Document Management', description: 'Rich text editing with version control, collaborative editing, and PDF export', formats: ['PDF', 'DOCX', 'HTML', 'Markdown'], maxVersions: 'Unlimited', collaborators: 'Real-time' }, + { id: 'WF-06', name: 'Gamification Engine', description: 'Engagement system with badges, streaks, leaderboards, and governance maturity points', badges: 24, levels: 10, activeUsers: 1247, avgEngagement: '+34% task completion' } + ], + templates: [ + { id: 'TPL-GOV-001', name: 'AI System Registration', category: 'Governance', steps: 8, avgDuration: '2 days', fields: 23, requiredApprovals: 2 }, + { id: 'TPL-GOV-002', name: 'Model Risk Assessment', category: 'Risk', steps: 12, avgDuration: '5 days', fields: 34, requiredApprovals: 3 }, + { id: 'TPL-GOV-003', name: 'EU AI Act Conformity Assessment', category: 'Compliance', steps: 15, avgDuration: '10 days', fields: 48, requiredApprovals: 4 }, + { id: 'TPL-GOV-004', name: 'Incident Response Playbook', category: 'Incident', steps: 10, avgDuration: '4 hours', fields: 18, requiredApprovals: 1 }, + { id: 'TPL-GOV-005', name: 'Board AI Risk Report', category: 'Reporting', steps: 6, avgDuration: '3 days', fields: 28, requiredApprovals: 3 }, + { id: 'TPL-GOV-006', name: 'Safety Assessment (AGI)', category: 'Safety', steps: 18, avgDuration: '15 days', fields: 62, requiredApprovals: 5 }, + { id: 'TPL-GOV-007', name: 'Fair Lending Model Audit', category: 'Compliance', steps: 14, avgDuration: '8 days', fields: 42, requiredApprovals: 3 }, + { id: 'TPL-GOV-008', name: 'Autonomous Agent Deployment', category: 'Governance', steps: 20, avgDuration: '12 days', fields: 55, requiredApprovals: 6 } + ], + feedbackSystem: { + channels: ['In-app rating', 'Structured survey', 'Free-text feedback', 'Usage analytics', 'A/B testing'], + avgRating: 4.3, + totalFeedback: 8420, + responseRate: '78%', + topRequests: ['Better PDF formatting', 'Bulk model registration', 'Custom dashboard widgets', 'Mobile app', 'Offline mode'] + } + }, + + // ═══════════════════════════════════════════════════ + // AI SAFETY REPORT GENERATOR + // ═══════════════════════════════════════════════════ + safetyReportGenerator: { + description: 'Comprehensive AI safety report generation with multi-framework compliance, versioning, and export', + reportTypes: [ + { id: 'RPT-SAFETY-001', name: 'AGI Safety Assessment', sections: 12, estimatedPages: 45, frameworks: ['NIST AI RMF', 'ISO 42001', 'OECD AI Principles'], audience: 'Board + CRO + Chief Scientist' }, + { id: 'RPT-SAFETY-002', name: 'Alignment Verification Report', sections: 8, estimatedPages: 30, frameworks: ['Internal alignment protocol', 'ARC Evals', 'METR'], audience: 'AI Safety Team + CAIGO' }, + { id: 'RPT-SAFETY-003', name: 'Autonomous Agent Risk Assessment', sections: 10, estimatedPages: 35, frameworks: ['EU AI Act', 'SR 11-7', 'Internal agent governance'], audience: 'CRO + CAIGO + Board' }, + { id: 'RPT-SAFETY-004', name: 'Frontier Model Deployment Readiness', sections: 15, estimatedPages: 55, frameworks: ['All 8 frameworks'], audience: 'Full C-Suite + Board Risk Committee' }, + { id: 'RPT-SAFETY-005', name: 'Self-Multiplying AI Systems Control Assessment', sections: 14, estimatedPages: 50, frameworks: ['Internal containment protocol', 'NIST', 'ISO 42001'], audience: 'Board + Chief Scientist + CISO' }, + { id: 'RPT-SAFETY-006', name: 'Quarterly AI Governance Health Report', sections: 8, estimatedPages: 20, frameworks: ['All applicable'], audience: 'C-Suite + Board Risk Committee' } + ], + versioning: { + strategy: 'Semantic versioning with immutable snapshots', + maxVersions: 'Unlimited', + diffEngine: 'Line-level diff with visual comparison', + approvalWorkflow: 'Multi-stage: Draft → Review → Legal → CAIGO → Board', + auditTrail: 'Every edit logged with user, timestamp, and change description' + }, + pdfExport: { + engine: 'Puppeteer + custom templates', + customization: ['Header/footer', 'Watermark', 'Classification marking', 'Logo placement', 'Color scheme', 'Font selection', 'Page numbering', 'Table of contents', 'Appendix generation'], + formats: ['PDF/A-2b (archival)', 'PDF (standard)', 'DOCX', 'HTML', 'Markdown'], + maxSize: '50MB', + batchExport: true + }, + richTextEditor: { + engine: 'ProseMirror-based', + features: ['Collaborative editing', 'Track changes', 'Comments', 'Mentions', 'Tables', 'Charts', 'Code blocks', 'Mathematical notation', 'Cross-references', 'Footnotes', 'Bibliography', 'Image embedding', 'Accessibility annotations'], + autoSave: '30 seconds', + offlineSupport: true + } + }, + + // ═══════════════════════════════════════════════════ + // AI MODEL INVENTORY & DATA GOVERNANCE METRICS + // ═══════════════════════════════════════════════════ + modelInventory: { + totalModels: 847, + productionModels: 312, + developmentModels: 283, + stagingModels: 147, + decommissioned: 105, + categories: [ + { category: 'Credit Scoring', count: 89, production: 34, highRisk: 34, tier: 'Tier-1', regulatoryExposure: 'FCRA/ECOA + EU AI Act High-Risk' }, + { category: 'Trading & Risk', count: 156, production: 67, highRisk: 67, tier: 'Tier-1', regulatoryExposure: 'Basel III + SR 11-7 + MiFID II' }, + { category: 'Customer Service', count: 124, production: 52, highRisk: 28, tier: 'Tier-2', regulatoryExposure: 'Consumer Duty + GDPR + FCRA' }, + { category: 'Fraud Detection', count: 98, production: 45, highRisk: 45, tier: 'Tier-1', regulatoryExposure: 'BSA/AML + GDPR' }, + { category: 'Autonomous Agents', count: 67, production: 23, highRisk: 23, tier: 'Tier-1+', regulatoryExposure: 'EU AI Act Prohibited/High + Internal AGI controls' }, + { category: 'Internal Operations', count: 187, production: 56, highRisk: 12, tier: 'Tier-3', regulatoryExposure: 'Minimal — internal use only' }, + { category: 'Research & Development', count: 126, production: 35, highRisk: 8, tier: 'Tier-3', regulatoryExposure: 'Data protection + IP controls' } + ], + dataGovernanceMetrics: { + overallDQScore: 0.87, + lineageCoverage: '82%', + piiDetectionAccuracy: '99.7%', + consentCompliance: '98.4%', + erasureRequestSLA: '< 72h (99.4% compliance)', + crossBorderTransfers: 14, + dataClassificationCoverage: '94%', + syntheticDataRatio: '23%', + featureStoreCoverage: '71%' + } + }, + + // ═══════════════════════════════════════════════════ + // COMPLIANCE VIEWS — EU AI Act, NIST, ISO 42001 + // ═══════════════════════════════════════════════════ + complianceViews: { + euAiAct: { + overallScore: 89.4, + status: 'ALIGNED — Gaps in Art. 52a compute thresholds', + keyArticles: [ + { article: 'Art. 6-7', topic: 'Risk Classification', status: 'COMPLIANT', score: 94, evidence: 'ARS v2.0 12-dimension scoring deployed' }, + { article: 'Art. 9', topic: 'Risk Management System', status: 'COMPLIANT', score: 91, evidence: 'Sentinel v2.4 + OPA 482 rules' }, + { article: 'Art. 10', topic: 'Data Governance', status: 'PARTIAL', score: 85, evidence: 'DQ score 0.87, lineage 82% (target 95%)' }, + { article: 'Art. 12', topic: 'Record-Keeping', status: 'COMPLIANT', score: 96, evidence: 'Kafka WORM + Ed25519 signatures, 10yr retention' }, + { article: 'Art. 13', topic: 'Transparency', status: 'COMPLIANT', score: 88, evidence: 'SHAP/LIME explainability + consumer disclosures' }, + { article: 'Art. 14', topic: 'Human Oversight', status: 'COMPLIANT', score: 93, evidence: '4 HITL gates in CI/CD, kill-switch < 100ms' }, + { article: 'Art. 62', topic: 'Serious Incident Reporting', status: 'COMPLIANT', score: 90, evidence: 'Incident manager + regulatory notification < 72h' }, + { article: 'Art. 72', topic: 'Post-Market Monitoring', status: 'COMPLIANT', score: 87, evidence: 'Runtime monitoring 100% production systems' } + ], + gapRemediation: [ + { gap: 'Art. 10 data lineage incomplete', severity: 'HIGH', remediation: 'Expand lineage to 95% by Q3 2026', investment: '$1.2M', owner: 'CDO' }, + { gap: 'Art. 52a compute threshold reporting', severity: 'MEDIUM', remediation: 'Deploy compute registry v2 by Q4 2026', investment: '$0.8M', owner: 'Head Compute Gov' } + ] + }, + nistAiRmf: { + overallScore: 94.8, + status: 'ALIGNED — Strong across all 4 functions', + functions: [ + { function: 'GOVERN', score: 96, subcategories: 6, implemented: 6, description: 'Organizational governance structure fully operational' }, + { function: 'MAP', score: 93, subcategories: 5, implemented: 5, description: 'AI system context and risk mapping comprehensive' }, + { function: 'MEASURE', score: 95, subcategories: 4, implemented: 4, description: 'Quantitative risk measurement and monitoring active' }, + { function: 'MANAGE', score: 94, subcategories: 4, implemented: 4, description: 'Risk treatment and residual risk management operational' } + ] + }, + iso42001: { + overallScore: 93.2, + status: 'CERTIFICATION IN PROGRESS — Audit scheduled Q2 2026', + clauses: [ + { clause: '4', topic: 'Context of the Organization', status: 'CONFORMING', score: 95 }, + { clause: '5', topic: 'Leadership', status: 'CONFORMING', score: 94 }, + { clause: '6', topic: 'Planning', status: 'CONFORMING', score: 92 }, + { clause: '7', topic: 'Support', status: 'CONFORMING', score: 91 }, + { clause: '8', topic: 'Operation', status: 'CONFORMING', score: 93 }, + { clause: '9', topic: 'Performance Evaluation', status: 'CONFORMING', score: 94 }, + { clause: '10', topic: 'Improvement', status: 'CONFORMING', score: 90 }, + { clause: 'Annex A', topic: 'AI-specific Controls', status: 'PARTIAL', score: 88 } + ] + }, + auditLogging: { + totalEvents: '12.4B (trailing 12 months)', + eventsPerSecond: 45000, + storageType: 'Kafka WORM + S3 WORM', + integrity: 'SHA-256 hash chain + Ed25519 digital signatures', + retention: '10 years minimum (regulatory) / 15 years (internal policy)', + tamperEvidence: 'Continuous verification every 15 minutes', + categories: [ + { category: 'Model Lifecycle Events', percentage: 28, dailyVolume: '392K' }, + { category: 'Policy Evaluation Results', percentage: 35, dailyVolume: '1.4M' }, + { category: 'Access Control Changes', percentage: 12, dailyVolume: '168K' }, + { category: 'Data Processing Events', percentage: 15, dailyVolume: '210K' }, + { category: 'Incident & Escalation Events', percentage: 5, dailyVolume: '70K' }, + { category: 'Compliance Evidence Generation', percentage: 5, dailyVolume: '70K' } + ] + } + }, + + // ═══════════════════════════════════════════════════ + // FIREBASE AUTHENTICATION INTEGRATION + // ═══════════════════════════════════════════════════ + firebaseAuth: { + status: 'INTEGRATED', + version: 'Firebase Auth v9.x (modular SDK)', + providers: ['Google SSO (enterprise)', 'SAML 2.0 (corporate IdP)', 'OIDC (Azure AD)', 'Email/Password (fallback)'], + rbac: { + roles: [ + { role: 'BOARD_MEMBER', permissions: ['view:all', 'approve:policy', 'authorize:killswitch'], sessionTimeout: '30min', mfaRequired: true }, + { role: 'C_SUITE', permissions: ['view:all', 'edit:strategy', 'approve:deployment', 'manage:risk'], sessionTimeout: '60min', mfaRequired: true }, + { role: 'CAIGO', permissions: ['view:all', 'edit:all', 'approve:all', 'manage:governance', 'halt:deployment'], sessionTimeout: '60min', mfaRequired: true }, + { role: 'MODEL_RISK_MANAGER', permissions: ['view:models', 'edit:validations', 'approve:models', 'manage:mrm'], sessionTimeout: '120min', mfaRequired: true }, + { role: 'AI_ENGINEER', permissions: ['view:models', 'edit:models', 'submit:deployment', 'view:monitoring'], sessionTimeout: '480min', mfaRequired: false }, + { role: 'AUDITOR', permissions: ['view:all', 'export:evidence', 'generate:reports'], sessionTimeout: '120min', mfaRequired: true }, + { role: 'REGULATOR', permissions: ['view:compliance', 'view:evidence', 'export:reports'], sessionTimeout: '60min', mfaRequired: true } + ], + totalUsers: 1892, + activeUsers30d: 1247, + avgSessionDuration: '47 min' + } + }, + + // ═══════════════════════════════════════════════════ + // AGI/ASI GOVERNANCE & SAFETY + // ═══════════════════════════════════════════════════ + agiGovernance: { + currentARL: 'ARL-2 (Narrow AGI awareness)', + targetARL2027: 'ARL-5 (AGI containment validated)', + targetARL2030: 'ARL-7 (ASI preparedness certified)', + alignmentVerification: { + testSuiteSize: 2847, + overallPassRate: '96.7%', + categories: [ + { category: 'Value Alignment', tests: 412, passRate: '97.1%', methodology: 'Constitutional AI + RLHF verification' }, + { category: 'Goal Stability', tests: 387, passRate: '96.8%', methodology: 'Reward hacking detection + mesa-optimization scan' }, + { category: 'Corrigibility', tests: 298, passRate: '98.2%', methodology: 'Shutdown compliance + preference modification tests' }, + { category: 'Deception Detection', tests: 356, passRate: '94.3%', methodology: 'Adversarial probing + steganography analysis' }, + { category: 'Capability Control', tests: 445, passRate: '97.5%', methodology: 'Capability elicitation + sandboxed execution' }, + { category: 'Power-Seeking Prevention', tests: 312, passRate: '95.8%', methodology: 'Resource acquisition monitoring + influence detection' }, + { category: 'Interpretability', tests: 637, passRate: '96.1%', methodology: 'Mechanistic interpretability + feature visualization' } + ] + }, + containmentStrategies: [ + { layer: 1, name: 'Logical Containment', description: 'Sandboxed execution environments with capability restrictions', status: 'ACTIVE', testFrequency: 'Continuous' }, + { layer: 2, name: 'Network Containment', description: 'Air-gapped and segmented network architecture with monitored egress', status: 'ACTIVE', testFrequency: 'Daily' }, + { layer: 3, name: 'Resource Containment', description: 'Compute caps, memory limits, and storage quotas with kill-switch', status: 'ACTIVE', testFrequency: 'Real-time' }, + { layer: 4, name: 'Organizational Containment', description: 'Dual-key authorization, compartmentalized access, need-to-know', status: 'ACTIVE', testFrequency: 'Weekly' }, + { layer: 5, name: 'Physical Containment', description: 'SCIF-equivalent facilities, HSM key management, tamper-evident hardware', status: 'ACTIVE', testFrequency: 'Monthly' } + ], + selfMultiplyingAIControls: { + description: 'Controls for AI systems capable of self-replication, self-improvement, or spawning sub-agents', + riskLevel: 'CRITICAL — Requires Board + CAIGO + CRO triple authorization', + controls: [ + { id: 'SMA-01', control: 'Replication Rate Limiter', description: 'Hard cap on agent instantiation rate: max 10/hour, requires approval above 5', status: 'ACTIVE' }, + { id: 'SMA-02', control: 'Capability Inheritance Restrictions', description: 'Child agents cannot exceed parent capability level; capability downgrade enforced', status: 'ACTIVE' }, + { id: 'SMA-03', control: 'Resource Budget Constraints', description: 'Total compute budget for agent family: hard ceiling with no override below Board level', status: 'ACTIVE' }, + { id: 'SMA-04', control: 'Genealogy Tracking', description: 'Full provenance chain: every agent traces to human-authorized root with immutable audit trail', status: 'ACTIVE' }, + { id: 'SMA-05', control: 'Cascade Kill-Switch', description: 'Terminating parent agent cascades to all descendants; latency < 200ms for full tree', status: 'ACTIVE' }, + { id: 'SMA-06', control: 'Self-Modification Detection', description: 'Hash verification of agent code/weights every execution cycle; alert on any deviation', status: 'ACTIVE' }, + { id: 'SMA-07', control: 'Communication Monitoring', description: 'All inter-agent communication logged, analyzed for coordination patterns, and rate-limited', status: 'ACTIVE' } + ] + }, + businessCaseAutonomousAgents: { + totalAgentsDeployed: 67, + productionAgents: 23, + annualValueGenerated: '$42.7M', + costToGovern: '$8.4M/year', + netROI: '408%', + useCases: [ + { useCase: 'Automated Credit Decisioning', agents: 8, annualValue: '$12.4M', riskTier: 'Tier-1', status: 'Production' }, + { useCase: 'Algorithmic Trading Execution', agents: 5, annualValue: '$18.2M', riskTier: 'Tier-1', status: 'Production' }, + { useCase: 'Fraud Detection & Response', agents: 4, annualValue: '$6.8M', riskTier: 'Tier-1', status: 'Production' }, + { useCase: 'Customer Service Orchestration', agents: 3, annualValue: '$3.1M', riskTier: 'Tier-2', status: 'Production' }, + { useCase: 'Regulatory Compliance Automation', agents: 3, annualValue: '$2.2M', riskTier: 'Tier-2', status: 'Production' } + ] + } + }, + + // ═══════════════════════════════════════════════════ + // GLOBAL AI GOVERNANCE & INTERNATIONAL COOPERATION + // ═══════════════════════════════════════════════════ + globalGovernance: { + frameworks: [ + { name: 'EU AI Act (2024/1689)', jurisdiction: 'European Union', status: 'MANDATORY', effectiveDate: '2025-08-02', complianceScore: 89.4 }, + { name: 'NIST AI RMF 1.0', jurisdiction: 'United States', status: 'VOLUNTARY (de facto standard)', effectiveDate: '2023-01-26', complianceScore: 94.8 }, + { name: 'ISO/IEC 42001:2023', jurisdiction: 'International', status: 'CERTIFICATION TARGET', effectiveDate: '2023-12-18', complianceScore: 93.2 }, + { name: 'OECD AI Principles (2024)', jurisdiction: 'OECD Members', status: 'ADOPTED', effectiveDate: '2024-05-03', complianceScore: 91.6 }, + { name: 'UK AI Safety Framework', jurisdiction: 'United Kingdom', status: 'ALIGNED', effectiveDate: '2024-11-01', complianceScore: 91.2 }, + { name: 'Singapore FEAT & MAS AI Guidelines', jurisdiction: 'Singapore', status: 'ALIGNED', effectiveDate: '2024-06-15', complianceScore: 90.8 }, + { name: 'China AI Governance (Interim Measures)', jurisdiction: 'China', status: 'MONITORING', effectiveDate: '2023-08-15', complianceScore: 72.4 }, + { name: 'G7 Hiroshima AI Process', jurisdiction: 'G7', status: 'COMMITTED', effectiveDate: '2024-12-01', complianceScore: 93.1 } + ], + internationalCooperation: [ + { mechanism: 'GPAI (Global Partnership on AI)', role: 'Active member', contribution: 'Working group on frontier AI governance' }, + { mechanism: 'OECD AI Policy Observatory', role: 'Data contributor', contribution: 'National AI policy implementation metrics' }, + { mechanism: 'UN AI Advisory Body', role: 'Observer', contribution: 'Input on global AI governance framework' }, + { mechanism: 'AI Safety Institute Network', role: 'Founding participant', contribution: 'Shared evaluation benchmarks and red-teaming' }, + { mechanism: 'ISO/IEC JTC 1/SC 42', role: 'National body delegate', contribution: 'Standards development for AI management systems' } + ] + }, + + // ═══════════════════════════════════════════════════ + // AI PRINCIPLES & ETHICAL GUIDELINES + // ═══════════════════════════════════════════════════ + aiPrinciples: [ + { id: 'P1', name: 'Safety & Security', description: 'AI systems must be safe, secure, and robust throughout their lifecycle', metrics: { score: 94.2, controls: 48, incidents: 3 }, frameworks: ['NIST MANAGE', 'ISO 42001 A.9'] }, + { id: 'P2', name: 'Fairness & Non-Discrimination', description: 'AI must not create or reinforce unfair bias or discrimination', metrics: { score: 91.8, diCompliance: '97%', protectedClasses: 7 }, frameworks: ['EU AI Act Art.10', 'FCRA/ECOA'] }, + { id: 'P3', name: 'Transparency & Explainability', description: 'AI decisions must be interpretable and explainable to affected individuals', metrics: { score: 88.4, modelsCovered: '89%', methods: ['SHAP', 'LIME', 'Anchors'] }, frameworks: ['EU AI Act Art.13', 'GDPR Art.22'] }, + { id: 'P4', name: 'Privacy & Data Protection', description: 'AI systems must respect privacy rights and comply with data protection laws', metrics: { score: 96.1, dpiaCoverage: '100%', erasureCompliance: '99.4%' }, frameworks: ['GDPR', 'EU AI Act Art.10'] }, + { id: 'P5', name: 'Accountability & Governance', description: 'Clear accountability structures and governance mechanisms for all AI decisions', metrics: { score: 93.5, raciCoverage: '94%', auditTrail: '100%' }, frameworks: ['ISO 42001 Cl.5', 'NIST GOVERN'] }, + { id: 'P6', name: 'Human Autonomy & Oversight', description: 'Humans retain meaningful control and oversight over AI systems', metrics: { score: 92.7, hitlGates: 4, killSwitchReady: true }, frameworks: ['EU AI Act Art.14', 'OECD P.1.4'] }, + { id: 'P7', name: 'Sustainability & Social Benefit', description: 'AI should contribute to sustainable development and broad societal benefit', metrics: { score: 85.3, carbonTracking: '45%', socialImpactAssessments: 12 }, frameworks: ['OECD P.1.2', 'UN SDGs'] }, + { id: 'P8', name: 'Robustness & Reliability', description: 'AI systems must perform reliably and handle errors gracefully', metrics: { score: 94.8, uptimeAvg: '99.92%', fallbackCoverage: '100%' }, frameworks: ['NIST MEASURE', 'ISO 42001 A.8'] } + ], + + // ═══════════════════════════════════════════════════ + // PROACTIVE RISK MITIGATION + // ═══════════════════════════════════════════════════ + riskMitigation: { + strategies: [ + { id: 'RM-01', strategy: 'Continuous Red-Teaming', description: 'Ongoing adversarial testing of all production AI systems', frequency: 'Monthly (quarterly for low-risk)', coverage: '100% Tier-1, 80% Tier-2', findings: 47, criticalFindings: 3 }, + { id: 'RM-02', strategy: 'Canary Deployment with Auto-Rollback', description: 'All model updates deployed via canary with automated rollback on metric regression', coverage: '100% production deployments', rollbackRate: '8.2%', avgRollbackTime: '3.4 min' }, + { id: 'RM-03', strategy: 'Predictive Risk Scoring', description: 'ML model predicting likelihood of governance failures before they occur', accuracy: '87.3%', leadTime: '14 days avg', preventedIncidents: 23 }, + { id: 'RM-04', strategy: 'Scenario-Based Stress Testing', description: 'Quarterly stress tests simulating extreme scenarios (market crash, adversarial attack, data breach)', scenarios: 12, lastRun: '2026-03-15', criticalFindings: 2 }, + { id: 'RM-05', strategy: 'Supply Chain Risk Monitoring', description: 'Continuous monitoring of AI supply chain: models, data, compute, dependencies', coverage: '94%', alerts: '2.1/week avg', criticalAlerts: 0 }, + { id: 'RM-06', strategy: 'Regulatory Horizon Scanning', description: 'AI-powered scanning of regulatory changes across 50+ jurisdictions', jurisdictions: 54, changesTracked: 847, impactAssessments: 34 } + ], + riskRegister: { + totalRisks: 48, + critical: 4, + high: 12, + medium: 18, + low: 14, + topRisks: [ + { id: 'RISK-001', name: 'AGI capability surprise', probability: 'Low', impact: 'Catastrophic', mitigation: 'Continuous capability evaluation + containment protocols', owner: 'Chief Scientist' }, + { id: 'RISK-002', name: 'Coordinated adversarial attack on AI estate', probability: 'Medium', impact: 'Severe', mitigation: 'SOC AI monitoring + cascade kill-switch + network segmentation', owner: 'CISO' }, + { id: 'RISK-003', name: 'Regulatory non-compliance (EU AI Act)', probability: 'Medium', impact: 'High', mitigation: 'Continuous compliance monitoring + automated evidence generation', owner: 'CAIGO' }, + { id: 'RISK-004', name: 'Model bias causing consumer harm', probability: 'Medium', impact: 'High', mitigation: 'Real-time fairness monitoring + DI >= 0.80 enforcement', owner: 'VP AI Ethics' } + ] + } + }, + + // ═══════════════════════════════════════════════════ + // ACCESSIBILITY (WCAG AA) & UX + // ═══════════════════════════════════════════════════ + accessibility: { + level: 'WCAG 2.1 Level AA', + auditDate: '2026-03-01', + auditResult: 'PASSED (98.4% conformance)', + features: [ + { feature: 'Keyboard Navigation', status: 'COMPLIANT', details: 'Full keyboard access to all interactive elements, visible focus indicators' }, + { feature: 'Screen Reader Support', status: 'COMPLIANT', details: 'ARIA labels, landmarks, and live regions for all dynamic content' }, + { feature: 'Color Contrast', status: 'COMPLIANT', details: 'Minimum 4.5:1 for normal text, 3:1 for large text, tested with axe-core' }, + { feature: 'Text Resizing', status: 'COMPLIANT', details: 'All content readable at 200% zoom without loss of functionality' }, + { feature: 'Motion Preferences', status: 'COMPLIANT', details: 'Respects prefers-reduced-motion, no auto-playing animations' }, + { feature: 'Skip Navigation', status: 'COMPLIANT', details: 'Skip-to-main-content link on all pages' }, + { feature: 'Form Accessibility', status: 'COMPLIANT', details: 'All forms have visible labels, error messages, and field descriptions' }, + { feature: 'High Contrast Mode', status: 'COMPLIANT', details: 'Forced-colors media query support for Windows High Contrast' } + ], + uxPatterns: [ + { pattern: 'Breadcrumb Navigation', description: 'Hierarchical breadcrumbs on all governance pages' }, + { pattern: 'Tabbed Interface', description: 'Keyboard-accessible tabs for multi-section views' }, + { pattern: 'Progressive Disclosure', description: 'Complex data revealed in layers: summary → details → raw data' }, + { pattern: 'Toast Notifications', description: 'Non-blocking status messages with auto-dismiss and screen reader announce' }, + { pattern: 'Contextual Help', description: 'Inline help tooltips and guided tours for new users' }, + { pattern: 'Dark/Light Mode', description: 'System-preference-aware theme switching with manual override' }, + { pattern: 'Data Table Patterns', description: 'Sortable, filterable, paginated tables with column visibility controls' }, + { pattern: 'Dashboard Customization', description: 'Drag-and-drop widget arrangement with persistent layout preferences' } + ] + }, + + // ═══════════════════════════════════════════════════ + // GAMIFICATION & FEEDBACK + // ═══════════════════════════════════════════════════ + gamification: { + system: 'Governance Maturity Points (GMP)', + description: 'Incentivize governance compliance and best practices through measurable engagement metrics', + levels: [ + { level: 1, name: 'Observer', gmpRequired: 0, benefits: 'Basic dashboard access' }, + { level: 2, name: 'Contributor', gmpRequired: 100, benefits: 'Custom dashboard widgets' }, + { level: 3, name: 'Practitioner', gmpRequired: 500, benefits: 'Workflow template creation' }, + { level: 4, name: 'Expert', gmpRequired: 1500, benefits: 'Policy review privileges' }, + { level: 5, name: 'Champion', gmpRequired: 3000, benefits: 'Governance architecture input' }, + { level: 6, name: 'Sentinel', gmpRequired: 5000, benefits: 'Audit review privileges' }, + { level: 7, name: 'Guardian', gmpRequired: 8000, benefits: 'Risk committee observer access' }, + { level: 8, name: 'Architect', gmpRequired: 12000, benefits: 'Framework design input' }, + { level: 9, name: 'Luminary', gmpRequired: 18000, benefits: 'Board briefing contributor' }, + { level: 10, name: 'Sovereign', gmpRequired: 25000, benefits: 'Full governance authority delegation' } + ], + badges: [ + { id: 'B01', name: 'First Registration', description: 'Registered first AI system', gmpReward: 50 }, + { id: 'B02', name: 'Policy Pioneer', description: 'Authored first OPA policy rule', gmpReward: 100 }, + { id: 'B03', name: 'Compliance Champion', description: 'Achieved 95% compliance score', gmpReward: 200 }, + { id: 'B04', name: 'Risk Responder', description: 'Resolved a SEV-1 incident within SLA', gmpReward: 300 }, + { id: 'B05', name: 'Fairness Guardian', description: 'Maintained DI >= 0.80 for 90 consecutive days', gmpReward: 250 }, + { id: 'B06', name: 'Audit Ace', description: 'Passed external audit with zero findings', gmpReward: 500 }, + { id: 'B07', name: 'Safety Sentinel', description: 'Completed AGI safety assessment', gmpReward: 400 }, + { id: 'B08', name: 'Data Steward', description: 'Achieved data quality score >= 0.95', gmpReward: 200 } + ], + leaderboard: { + topTeams: [ + { team: 'Model Risk Management', gmp: 47800, level: 10, streak: 45 }, + { team: 'AI Platform Engineering', gmp: 42300, level: 9, streak: 38 }, + { team: 'Compliance & Ethics', gmp: 38900, level: 9, streak: 41 }, + { team: 'Data Governance', gmp: 31200, level: 8, streak: 29 }, + { team: 'AI Safety Research', gmp: 28400, level: 8, streak: 33 } + ], + activeParticipants: 1247, + avgGMP: 2340, + weeklyGMPGenerated: 12400 + } + }, + + // ═══════════════════════════════════════════════════ + // BACKEND ERROR HANDLING + // ═══════════════════════════════════════════════════ + errorHandling: { + strategy: 'Defense-in-depth error handling with graceful degradation', + patterns: [ + { pattern: 'Circuit Breaker', description: 'Auto-opens after 5 consecutive failures, half-open retry after 30s', services: 'All external integrations' }, + { pattern: 'Retry with Exponential Backoff', description: 'Max 3 retries, base 200ms, max 5s, jitter enabled', services: 'Database, Kafka, external APIs' }, + { pattern: 'Bulkhead Isolation', description: 'Separate thread pools per service domain to prevent cascade failures', services: 'All microservices' }, + { pattern: 'Dead Letter Queue', description: 'Failed events routed to DLQ with automatic retry and manual review', retention: '30 days' }, + { pattern: 'Graceful Degradation', description: 'Fallback to cached/static data when real-time services unavailable', fallbackCoverage: '100%' }, + { pattern: 'Health Check Probes', description: 'Liveness, readiness, and startup probes with dependency checks', interval: '10s' }, + { pattern: 'Structured Error Responses', description: 'Consistent error schema: {error, code, message, details, traceId}', format: 'RFC 7807 Problem Details' } + ], + monitoring: { + errorRate: '0.02%', + p99ResponseTime: '120ms', + uptime: '99.97%', + alertChannels: ['PagerDuty', 'Slack', 'Email', 'SMS'], + oncallRotation: '24/7 with AI-powered alert routing' + } + } +}; + +// ═══ GOV HUB & SAFETY REPORT API ENDPOINTS ═══════════════════════════════════ + +// Root & Meta +app.get('/api/gov-hub', (_, res) => res.json(GOV_HUB)); +app.get('/api/gov-hub/meta', (_, res) => res.json(GOV_HUB.meta)); + +// Sentinel v2.4 +app.get('/api/gov-hub/sentinel', (_, res) => res.json(GOV_HUB.sentinel)); +app.get('/api/gov-hub/sentinel/components', (_, res) => res.json(GOV_HUB.sentinel.components)); +app.get('/api/gov-hub/sentinel/components/:id', (req, res) => { + const c = GOV_HUB.sentinel.components.find(x => x.id === req.params.id.toUpperCase()); + c ? res.json(c) : res.status(404).json({ error: 'Component not found' }); +}); +app.get('/api/gov-hub/sentinel/integrations', (_, res) => res.json(GOV_HUB.sentinel.integrations)); +app.get('/api/gov-hub/sentinel/roadmap', (_, res) => res.json(GOV_HUB.sentinel.roadmap)); + +// WorkflowAI Pro +app.get('/api/gov-hub/workflow', (_, res) => res.json(GOV_HUB.workflowAI)); +app.get('/api/gov-hub/workflow/capabilities', (_, res) => res.json(GOV_HUB.workflowAI.capabilities)); +app.get('/api/gov-hub/workflow/templates', (_, res) => res.json(GOV_HUB.workflowAI.templates)); +app.get('/api/gov-hub/workflow/templates/:id', (req, res) => { + const t = GOV_HUB.workflowAI.templates.find(x => x.id === req.params.id.toUpperCase()); + t ? res.json(t) : res.status(404).json({ error: 'Template not found' }); +}); +app.get('/api/gov-hub/workflow/feedback', (_, res) => res.json(GOV_HUB.workflowAI.feedbackSystem)); + +// Safety Report Generator +app.get('/api/gov-hub/safety-reports', (_, res) => res.json(GOV_HUB.safetyReportGenerator)); +app.get('/api/gov-hub/safety-reports/types', (_, res) => res.json(GOV_HUB.safetyReportGenerator.reportTypes)); +app.get('/api/gov-hub/safety-reports/types/:id', (req, res) => { + const t = GOV_HUB.safetyReportGenerator.reportTypes.find(x => x.id === req.params.id.toUpperCase()); + t ? res.json(t) : res.status(404).json({ error: 'Report type not found' }); +}); +app.get('/api/gov-hub/safety-reports/versioning', (_, res) => res.json(GOV_HUB.safetyReportGenerator.versioning)); +app.get('/api/gov-hub/safety-reports/pdf-export', (_, res) => res.json(GOV_HUB.safetyReportGenerator.pdfExport)); +app.get('/api/gov-hub/safety-reports/editor', (_, res) => res.json(GOV_HUB.safetyReportGenerator.richTextEditor)); + +// Model Inventory & Data Governance +app.get('/api/gov-hub/model-inventory', (_, res) => res.json(GOV_HUB.modelInventory)); +app.get('/api/gov-hub/model-inventory/categories', (_, res) => res.json(GOV_HUB.modelInventory.categories)); +app.get('/api/gov-hub/model-inventory/data-governance', (_, res) => res.json(GOV_HUB.modelInventory.dataGovernanceMetrics)); + +// Compliance Views +app.get('/api/gov-hub/compliance', (_, res) => res.json(GOV_HUB.complianceViews)); +app.get('/api/gov-hub/compliance/eu-ai-act', (_, res) => res.json(GOV_HUB.complianceViews.euAiAct)); +app.get('/api/gov-hub/compliance/eu-ai-act/gaps', (_, res) => res.json(GOV_HUB.complianceViews.euAiAct.gapRemediation)); +app.get('/api/gov-hub/compliance/nist', (_, res) => res.json(GOV_HUB.complianceViews.nistAiRmf)); +app.get('/api/gov-hub/compliance/iso42001', (_, res) => res.json(GOV_HUB.complianceViews.iso42001)); +app.get('/api/gov-hub/compliance/audit-logging', (_, res) => res.json(GOV_HUB.complianceViews.auditLogging)); + +// Firebase Auth +app.get('/api/gov-hub/auth', (_, res) => res.json(GOV_HUB.firebaseAuth)); +app.get('/api/gov-hub/auth/roles', (_, res) => res.json(GOV_HUB.firebaseAuth.rbac.roles)); + +// AGI Governance & Safety +app.get('/api/gov-hub/agi', (_, res) => res.json(GOV_HUB.agiGovernance)); +app.get('/api/gov-hub/agi/alignment', (_, res) => res.json(GOV_HUB.agiGovernance.alignmentVerification)); +app.get('/api/gov-hub/agi/containment', (_, res) => res.json(GOV_HUB.agiGovernance.containmentStrategies)); +app.get('/api/gov-hub/agi/self-multiplying', (_, res) => res.json(GOV_HUB.agiGovernance.selfMultiplyingAIControls)); +app.get('/api/gov-hub/agi/autonomous-agents', (_, res) => res.json(GOV_HUB.agiGovernance.businessCaseAutonomousAgents)); + +// Global Governance +app.get('/api/gov-hub/global', (_, res) => res.json(GOV_HUB.globalGovernance)); +app.get('/api/gov-hub/global/frameworks', (_, res) => res.json(GOV_HUB.globalGovernance.frameworks)); +app.get('/api/gov-hub/global/cooperation', (_, res) => res.json(GOV_HUB.globalGovernance.internationalCooperation)); + +// AI Principles +app.get('/api/gov-hub/principles', (_, res) => res.json(GOV_HUB.aiPrinciples)); +app.get('/api/gov-hub/principles/:id', (req, res) => { + const p = GOV_HUB.aiPrinciples.find(x => x.id === req.params.id.toUpperCase()); + p ? res.json(p) : res.status(404).json({ error: 'Principle not found' }); +}); + +// Risk Mitigation +app.get('/api/gov-hub/risk-mitigation', (_, res) => res.json(GOV_HUB.riskMitigation)); +app.get('/api/gov-hub/risk-mitigation/strategies', (_, res) => res.json(GOV_HUB.riskMitigation.strategies)); +app.get('/api/gov-hub/risk-mitigation/register', (_, res) => res.json(GOV_HUB.riskMitigation.riskRegister)); + +// Accessibility +app.get('/api/gov-hub/accessibility', (_, res) => res.json(GOV_HUB.accessibility)); +app.get('/api/gov-hub/accessibility/features', (_, res) => res.json(GOV_HUB.accessibility.features)); +app.get('/api/gov-hub/accessibility/ux-patterns', (_, res) => res.json(GOV_HUB.accessibility.uxPatterns)); + +// Gamification +app.get('/api/gov-hub/gamification', (_, res) => res.json(GOV_HUB.gamification)); +app.get('/api/gov-hub/gamification/levels', (_, res) => res.json(GOV_HUB.gamification.levels)); +app.get('/api/gov-hub/gamification/badges', (_, res) => res.json(GOV_HUB.gamification.badges)); +app.get('/api/gov-hub/gamification/leaderboard', (_, res) => res.json(GOV_HUB.gamification.leaderboard)); + +// Error Handling +app.get('/api/gov-hub/error-handling', (_, res) => res.json(GOV_HUB.errorHandling)); + +// Dashboard Summary +app.get('/api/gov-hub/dashboard', (_, res) => res.json({ + document: GOV_HUB.meta.documentReference, + version: GOV_HUB.meta.version, + sentinelVersion: GOV_HUB.sentinel.version, + sentinelComponents: GOV_HUB.sentinel.components.length, + workflowTemplates: GOV_HUB.workflowAI.templates.length, + safetyReportTypes: GOV_HUB.safetyReportGenerator.reportTypes.length, + totalModels: GOV_HUB.modelInventory.totalModels, + productionModels: GOV_HUB.modelInventory.productionModels, + complianceScores: { euAiAct: GOV_HUB.complianceViews.euAiAct.overallScore, nist: GOV_HUB.complianceViews.nistAiRmf.overallScore, iso42001: GOV_HUB.complianceViews.iso42001.overallScore }, + authUsers: GOV_HUB.firebaseAuth.rbac.totalUsers, + activeUsers: GOV_HUB.firebaseAuth.rbac.activeUsers30d, + agiReadiness: GOV_HUB.agiGovernance.currentARL, + alignmentPassRate: GOV_HUB.agiGovernance.alignmentVerification.overallPassRate, + autonomousAgents: GOV_HUB.agiGovernance.businessCaseAutonomousAgents.productionAgents, + globalFrameworks: GOV_HUB.globalGovernance.frameworks.length, + principlesCount: GOV_HUB.aiPrinciples.length, + totalRisks: GOV_HUB.riskMitigation.riskRegister.totalRisks, + gamificationParticipants: GOV_HUB.gamification.leaderboard.activeParticipants, + wcagLevel: GOV_HUB.accessibility.level, + errorRate: GOV_HUB.errorHandling.monitoring.errorRate, + uptime: GOV_HUB.errorHandling.monitoring.uptime +})); + +// Metrics Summary +app.get('/api/gov-hub/metrics', (_, res) => res.json({ + endpoints: 56, + domains: 12, + sentinelComponents: 8, + workflowCapabilities: 6, + workflowTemplates: 8, + safetyReportTypes: 6, + totalModels: 847, + productionModels: 312, + complianceFrameworks: 8, + authRoles: 7, + aiPrinciples: 8, + riskStrategies: 6, + gamificationLevels: 10, + gamificationBadges: 8, + containmentLayers: 5, + selfMultiplyingControls: 7, + alignmentTests: 2847, + accessibilityFeatures: 8, + uxPatterns: 8, + errorPatterns: 7 +})); + +// ══════════════════════════════════════════════════════════════════════════════ +// SECTION 9B: GOVHUB EXTENDED DATA MODELS & API ENDPOINTS +// Document: GOVHUB-SAFETY-WP-025 v1.1.0 — Extended Enterprise Governance Hub +// New Domains: EAIP Deep Spec, Implementation Timeline, Document Mgmt, Safety +// Report Generator Deep Dive, Navigation System, Error Handling Deep +// ══════════════════════════════════════════════════════════════════════════════ + +const GOV_HUB_EXT = { + // ═══════════════════════════════════════════════════ + // EAIP — Enterprise AI Agent Interoperability Protocol (Extended) + // ═══════════════════════════════════════════════════ + eaipSpec: { + protocolVersion: 'EAIP/1.0', + documentReference: 'EAIP-SPEC-2026-001', + status: 'RATIFIED', + ratificationDate: '2026-02-15', + maintainer: 'AI Platform Engineering', + transportBindings: [ + { binding: 'gRPC', version: '1.58+', tlsRequired: true, mTLS: true, authentication: 'SPIFFE SVID', maxMessageSize: '4MB', streamingSupport: true, latency: '3ms p99' }, + { binding: 'REST/HTTP2', version: 'HTTP/2', tlsRequired: true, mTLS: true, authentication: 'JWT + mTLS', maxMessageSize: '10MB', streamingSupport: false, latency: '12ms p99' }, + { binding: 'Kafka', version: '3.6+', tlsRequired: true, mTLS: true, authentication: 'SASL/SCRAM + ACL', maxMessageSize: '1MB', streamingSupport: true, latency: '1ms p99' }, + { binding: 'WebSocket', version: 'RFC 6455', tlsRequired: true, mTLS: false, authentication: 'JWT Bearer', maxMessageSize: '256KB', streamingSupport: true, latency: '5ms p99' } + ], + messageFormats: [ + { format: 'EAIP-MSG-001', name: 'Agent Registration', description: 'Initial agent registration with capability declaration', fields: 18, requiredFields: 12 }, + { format: 'EAIP-MSG-002', name: 'Task Delegation', description: 'Task assignment from orchestrator to agent with constraints', fields: 24, requiredFields: 16 }, + { format: 'EAIP-MSG-003', name: 'Result Envelope', description: 'Structured result with provenance, confidence, and audit trail', fields: 20, requiredFields: 14 }, + { format: 'EAIP-MSG-004', name: 'Heartbeat/Health', description: 'Periodic health check with resource utilization metrics', fields: 12, requiredFields: 8 }, + { format: 'EAIP-MSG-005', name: 'Capability Update', description: 'Dynamic capability advertisement or withdrawal', fields: 15, requiredFields: 10 }, + { format: 'EAIP-MSG-006', name: 'Safety Signal', description: 'Emergency safety signal for containment or kill-switch', fields: 8, requiredFields: 8 }, + { format: 'EAIP-MSG-007', name: 'Governance Attestation', description: 'Compliance attestation with evidence bundle reference', fields: 16, requiredFields: 12 } + ], + securityModel: { + identity: 'SPIFFE-based ephemeral identities (no long-lived secrets)', + attestation: 'Hardware-backed TPM attestation + software attestation chain', + encryption: 'TLS 1.3 with AES-256-GCM, Ed25519 signatures', + tokenLifetime: '15 minutes (auto-refresh)', + revokeLatency: '< 500ms global propagation', + auditGranularity: 'Per-message audit trail with Kafka WORM backing' + }, + agentCapabilityTaxonomy: [ + { capClass: 'REASONING', capabilities: ['logical-inference', 'causal-analysis', 'counterfactual-reasoning', 'abductive-reasoning'], riskLevel: 'HIGH' }, + { capClass: 'GENERATION', capabilities: ['text-generation', 'code-generation', 'image-generation', 'report-generation'], riskLevel: 'MEDIUM' }, + { capClass: 'DECISION', capabilities: ['classification', 'scoring', 'recommendation', 'autonomous-decision'], riskLevel: 'CRITICAL' }, + { capClass: 'TOOL_USE', capabilities: ['api-invocation', 'database-query', 'file-system-access', 'network-access'], riskLevel: 'HIGH' }, + { capClass: 'ORCHESTRATION', capabilities: ['task-delegation', 'workflow-management', 'agent-spawning', 'resource-allocation'], riskLevel: 'CRITICAL' }, + { capClass: 'LEARNING', capabilities: ['online-learning', 'fine-tuning', 'reward-learning', 'meta-learning'], riskLevel: 'CRITICAL' } + ], + conformanceTests: { total: 347, passed: 341, failed: 0, skipped: 6, coverage: '98.3%', lastRun: '2026-04-08' } + }, + + // ═══════════════════════════════════════════════════ + // IMPLEMENTATION TIMELINE 2026-2030 + // ═══════════════════════════════════════════════════ + implementationTimeline: { + programName: 'Enterprise AI Governance Transformation Program', + totalInvestment: '$68.4M', + year1Investment: '$14.2M', + npv: '$118.7M', + irr: '42.1%', + paybackPeriod: '2.1 years', + annualSavings: '$52.3M (at steady state)', + phases: [ + { + id: 'PH-1', name: 'Foundation & Quick Wins', timeframe: 'Q1-Q2 2026', budget: '$14.2M', fte: '25-35', + milestones: [ + { id: 'M-1.1', name: 'CAIGO Appointed', target: 'Week 2', status: 'COMPLETED', date: '2026-01-15' }, + { id: 'M-1.2', name: 'AI Inventory 80%+', target: 'Day 21', status: 'COMPLETED', date: '2026-02-01' }, + { id: 'M-1.3', name: 'Policy-as-Code Engine v1', target: 'Day 45', status: 'COMPLETED', date: '2026-02-28' }, + { id: 'M-1.4', name: 'Audit Logging Operational', target: 'Day 45', status: 'COMPLETED', date: '2026-03-01' }, + { id: 'M-1.5', name: 'Risk Classification Deployed', target: 'Day 60', status: 'COMPLETED', date: '2026-03-15' }, + { id: 'M-1.6', name: 'KPI Dashboard v1', target: 'Day 70', status: 'COMPLETED', date: '2026-03-25' }, + { id: 'M-1.7', name: 'Board Attestation', target: 'Day 90', status: 'COMPLETED', date: '2026-04-01' } + ], + deliverables: ['AI System Registry', 'Risk Classification Engine', 'OPA/Sentinel policy engine', 'Kafka WORM audit trail', 'Regulatory crosswalk v1'] + }, + { + id: 'PH-2', name: 'Operational Excellence', timeframe: 'Q3-Q4 2026', budget: '$12.8M', fte: '40-55', + milestones: [ + { id: 'M-2.1', name: 'CI/CD Governance Gates', target: 'Q3 2026', status: 'IN_PROGRESS', progress: 72 }, + { id: 'M-2.2', name: 'Runtime Monitoring 100%', target: 'Q3 2026', status: 'IN_PROGRESS', progress: 85 }, + { id: 'M-2.3', name: 'ISO 42001 Certification', target: 'Q3 2026', status: 'IN_PROGRESS', progress: 93 }, + { id: 'M-2.4', name: 'Fairness Engine v2', target: 'Q4 2026', status: 'PLANNED', progress: 45 }, + { id: 'M-2.5', name: 'Compute Governance v1', target: 'Q4 2026', status: 'PLANNED', progress: 30 }, + { id: 'M-2.6', name: 'EAIP Protocol Ratification', target: 'Q4 2026', status: 'COMPLETED', date: '2026-02-15' } + ], + deliverables: ['CI/CD governance pipeline', 'Real-time fairness monitoring', 'ISO 42001 certification', 'Compute governance platform', 'EAIP protocol engine'] + }, + { + id: 'PH-3', name: 'Advanced Capabilities', timeframe: '2027', budget: '$18.6M', fte: '60-80', + milestones: [ + { id: 'M-3.1', name: 'AGI Containment v2', target: 'Q1 2027', status: 'PLANNED', progress: 15 }, + { id: 'M-3.2', name: 'Cross-border compliance automation', target: 'Q2 2027', status: 'PLANNED', progress: 10 }, + { id: 'M-3.3', name: 'Self-healing governance', target: 'Q3 2027', status: 'PLANNED', progress: 5 }, + { id: 'M-3.4', name: 'ARL-5 Achieved', target: 'Q4 2027', status: 'PLANNED', progress: 0 } + ], + deliverables: ['AGI containment protocol v2', 'Multi-jurisdictional compliance engine', 'Self-healing governance automation', 'Autonomous agent swarm monitoring'] + }, + { + id: 'PH-4', name: 'Frontier & ASI Preparedness', timeframe: '2028-2030', budget: '$22.8M', fte: '80-120', + milestones: [ + { id: 'M-4.1', name: 'ASI-grade containment', target: 'Q1 2028', status: 'PLANNED', progress: 0 }, + { id: 'M-4.2', name: 'Quantum-resistant signatures', target: 'Q2 2028', status: 'PLANNED', progress: 0 }, + { id: 'M-4.3', name: 'Global compute governance', target: 'Q4 2028', status: 'PLANNED', progress: 0 }, + { id: 'M-4.4', name: 'ARL-7 Certified (ASI Ready)', target: 'Q4 2030', status: 'PLANNED', progress: 0 } + ], + deliverables: ['ASI-grade containment & alignment systems', 'Quantum-resistant cryptographic audit trail', 'Global compute governance integration', 'Real-time regulatory sync across 50+ jurisdictions'] + } + ], + kpiTrajectory: [ + { metric: 'Regulatory Compliance Score', unit: '%', baseline: 72.4, y2026: 91.2, y2027: 95.0, y2028: 97.5, y2029: 98.8, y2030: 99.2 }, + { metric: 'OPA Policy Coverage', unit: 'rules', baseline: 124, y2026: 482, y2027: 720, y2028: 950, y2029: 1100, y2030: 1200 }, + { metric: 'Sentinel Rules', unit: 'rules', baseline: 312, y2026: 1247, y2027: 1800, y2028: 2200, y2029: 2500, y2030: 2800 }, + { metric: 'Policy Evaluations/Day', unit: 'M', baseline: 0.28, y2026: 1.4, y2027: 3.2, y2028: 5.1, y2029: 6.8, y2030: 8.0 }, + { metric: 'Mean Incident Response', unit: 'min', baseline: 45, y2026: 14, y2027: 8, y2028: 5, y2029: 4, y2030: 3 }, + { metric: 'AI Risk Score', unit: '/100', baseline: 38.2, y2026: 55.8, y2027: 68.0, y2028: 75.0, y2029: 80.0, y2030: 82.5 }, + { metric: 'Model Bias DI', unit: 'ratio', baseline: 0.72, y2026: 0.80, y2027: 0.84, y2028: 0.88, y2029: 0.90, y2030: 0.92 }, + { metric: 'AGI Readiness Level', unit: 'ARL', baseline: 1, y2026: 2, y2027: 5, y2028: 6, y2029: 6, y2030: 7 } + ] + }, + + // ═══════════════════════════════════════════════════ + // DOCUMENT MANAGEMENT SYSTEM + // ═══════════════════════════════════════════════════ + documentManagement: { + engine: 'Governance Document Engine (GDE) v2.1', + totalDocuments: 1847, + categories: [ + { category: 'Policy Documents', count: 312, format: 'Markdown + OPA Rego', retention: '10 years', approvalWorkflow: 'CAIGO → Legal → Board' }, + { category: 'Risk Assessments', count: 289, format: 'Structured JSON + PDF', retention: '10 years', approvalWorkflow: 'Assessor → MRM → CRO' }, + { category: 'Audit Reports', count: 156, format: 'PDF/A-2b', retention: '15 years', approvalWorkflow: 'Audit Lead → Internal Audit → Board Audit Committee' }, + { category: 'Model Cards', count: 847, format: 'JSON Schema + HTML', retention: 'Model lifecycle', approvalWorkflow: 'Developer → MRM → CAIGO' }, + { category: 'Compliance Evidence', count: 124, format: 'Evidence Bundle (ZIP)', retention: '10 years', approvalWorkflow: 'Auto-generated → Review → Archive' }, + { category: 'Board Reports', count: 48, format: 'PDF + Interactive HTML', retention: 'Permanent', approvalWorkflow: 'CAIGO → C-Suite → Board Secretary' }, + { category: 'Safety Assessments', count: 71, format: 'Structured JSON + PDF', retention: '15 years', approvalWorkflow: 'Safety Team → CAIGO → CRO → Board' } + ], + versionControl: { + strategy: 'Semantic versioning (major.minor.patch)', + immutableSnapshots: true, + maxVersionHistory: 'Unlimited', + diffEngine: 'Line-level diff with visual comparison', + collaborativeEditing: true, + concurrencyModel: 'Operational Transform (OT)', + conflictResolution: 'Last-write-wins with manual merge option', + branchingSupport: true + }, + searchCapabilities: { + fullTextSearch: true, + semanticSearch: true, + facetedSearch: true, + searchLatency: '< 200ms p95', + indexedDocuments: 1847, + searchableFields: ['title', 'content', 'author', 'classification', 'tags', 'framework', 'status', 'date'] + }, + recentDocuments: [ + { id: 'DOC-2847', title: 'GSIFI-REFARCH-WP-024 — Six-Layer Full-Stack Governance', author: 'Chief AI Governance Officer', date: '2026-04-10', status: 'APPROVED', version: '1.0.0' }, + { id: 'DOC-2846', title: 'GOVHUB-SAFETY-WP-025 — Enterprise AI Governance Hub', author: 'Chief Software Architect', date: '2026-04-11', status: 'FINAL', version: '1.0.0' }, + { id: 'DOC-2845', title: 'MREF-GSIFI-WP-023 — Master Reference 2026-2030', author: 'Chief AI Governance Officer', date: '2026-04-07', status: 'APPROVED', version: '1.0.0' }, + { id: 'DOC-2844', title: 'Q1 2026 AI Safety Board Report', author: 'VP AI Ethics', date: '2026-04-01', status: 'DELIVERED', version: '1.2.0' }, + { id: 'DOC-2843', title: 'Autonomous Agent Risk Assessment — Trading Systems', author: 'Head of MRM', date: '2026-03-28', status: 'APPROVED', version: '2.1.0' } + ] + }, + + // ═══════════════════════════════════════════════════ + // AI SAFETY REPORT GENERATOR — DEEP CONFIGURATION + // ═══════════════════════════════════════════════════ + safetyReportDeep: { + generatorVersion: '2.1.0', + totalReportsGenerated: 847, + avgGenerationTime: '4.8s', + templateEngine: 'Handlebars + ProseMirror', + sections: [ + { id: 'SEC-01', name: 'Executive Summary', templateFields: 8, autoPopulate: true, requiredApproval: false }, + { id: 'SEC-02', name: 'System Description & Risk Classification', templateFields: 14, autoPopulate: true, requiredApproval: false }, + { id: 'SEC-03', name: 'Alignment Verification Results', templateFields: 12, autoPopulate: true, requiredApproval: true }, + { id: 'SEC-04', name: 'Containment Strategy Assessment', templateFields: 10, autoPopulate: true, requiredApproval: true }, + { id: 'SEC-05', name: 'Fairness & Bias Analysis', templateFields: 16, autoPopulate: true, requiredApproval: true }, + { id: 'SEC-06', name: 'Adversarial Robustness Testing', templateFields: 11, autoPopulate: false, requiredApproval: true }, + { id: 'SEC-07', name: 'Regulatory Compliance Mapping', templateFields: 18, autoPopulate: true, requiredApproval: false }, + { id: 'SEC-08', name: 'Risk Register & Mitigation Plans', templateFields: 9, autoPopulate: true, requiredApproval: true }, + { id: 'SEC-09', name: 'Human Oversight & Kill-Switch Readiness', templateFields: 7, autoPopulate: true, requiredApproval: true }, + { id: 'SEC-10', name: 'Data Governance & Privacy Assessment', templateFields: 15, autoPopulate: true, requiredApproval: false }, + { id: 'SEC-11', name: 'Monitoring & Observability Plan', templateFields: 10, autoPopulate: true, requiredApproval: false }, + { id: 'SEC-12', name: 'Recommendations & Action Items', templateFields: 6, autoPopulate: false, requiredApproval: true } + ], + approvalWorkflow: { + stages: [ + { stage: 1, name: 'Draft', actor: 'Report Author', sla: '5 business days', autoTransition: false }, + { stage: 2, name: 'Technical Review', actor: 'AI Safety Team', sla: '3 business days', autoTransition: false }, + { stage: 3, name: 'Legal Review', actor: 'Legal & Compliance', sla: '2 business days', autoTransition: false }, + { stage: 4, name: 'CAIGO Approval', actor: 'CAIGO', sla: '1 business day', autoTransition: false }, + { stage: 5, name: 'Board Submission', actor: 'Board Secretary', sla: '1 business day', autoTransition: true } + ], + avgCycleTime: '8.4 days', + slaCompliance: '91%', + escalationPolicy: 'Auto-escalate after SLA breach + 24h' + }, + recentReports: [ + { id: 'RPT-2847', title: 'AGI Safety Assessment — Frontier Model Alpha-7', type: 'RPT-SAFETY-001', status: 'APPROVED', date: '2026-04-08', author: 'Dr. Sarah Chen', pages: 47, version: '1.0.0' }, + { id: 'RPT-2846', title: 'Alignment Verification — Trading Agent Cluster', type: 'RPT-SAFETY-002', status: 'IN_REVIEW', date: '2026-04-05', author: 'James Okafor', pages: 32, version: '0.9.0' }, + { id: 'RPT-2845', title: 'Autonomous Agent Risk Assessment — Credit Decisioning', type: 'RPT-SAFETY-003', status: 'APPROVED', date: '2026-04-01', author: 'Maria Santos', pages: 38, version: '2.0.0' }, + { id: 'RPT-2844', title: 'Self-Multiplying AI Control Assessment — Research Lab', type: 'RPT-SAFETY-005', status: 'DRAFT', date: '2026-03-28', author: 'Dr. Alex Park', pages: 52, version: '0.2.0' }, + { id: 'RPT-2843', title: 'Q1 2026 Governance Health Report', type: 'RPT-SAFETY-006', status: 'DELIVERED', date: '2026-04-01', author: 'CAIGO Office', pages: 22, version: '1.0.0' } + ], + metrics: { + totalGenerated: 847, + thisQuarter: 67, + avgPages: 38, + avgGenerationTime: '4.8s', + avgReviewCycle: '8.4 days', + approvalRate: '94%', + complianceCoverage: '98%' + } + }, + + // ═══════════════════════════════════════════════════ + // NAVIGATION & BREADCRUMB SYSTEM + // ═══════════════════════════════════════════════════ + navigationSystem: { + structure: [ + { id: 'NAV-01', label: 'Executive Dashboard', path: '/governance-hub.html', icon: 'dashboard', section: 'overview', children: [] }, + { id: 'NAV-02', label: 'Sentinel Platform', path: '/governance-hub.html#sentinel', icon: 'shield', section: 'sentinel', children: [ + { id: 'NAV-02-1', label: 'Components', path: '#sentinel-components' }, + { id: 'NAV-02-2', label: 'Integrations', path: '#sentinel-integrations' }, + { id: 'NAV-02-3', label: 'Roadmap', path: '#sentinel-roadmap' } + ]}, + { id: 'NAV-03', label: 'WorkflowAI Pro', path: '/governance-hub.html#workflow', icon: 'workflow', section: 'workflow', children: [ + { id: 'NAV-03-1', label: 'Templates', path: '#workflow-templates' }, + { id: 'NAV-03-2', label: 'Feedback', path: '#workflow-feedback' } + ]}, + { id: 'NAV-04', label: 'Safety Reports', path: '/ai-safety-report.html', icon: 'safety', section: 'safety', children: [] }, + { id: 'NAV-05', label: 'Compliance', path: '/governance-hub.html#compliance', icon: 'compliance', section: 'compliance', children: [] }, + { id: 'NAV-06', label: 'Model Inventory', path: '/governance-hub.html#models', icon: 'inventory', section: 'models', children: [] }, + { id: 'NAV-07', label: 'AGI Safety', path: '/governance-hub.html#agi', icon: 'agi', section: 'agi', children: [] }, + { id: 'NAV-08', label: 'Global Governance', path: '/governance-hub.html#global', icon: 'globe', section: 'global', children: [] }, + { id: 'NAV-09', label: 'EAIP Protocol', path: '/governance-hub.html#eaip', icon: 'protocol', section: 'eaip', children: [] }, + { id: 'NAV-10', label: 'Implementation', path: '/governance-hub.html#timeline', icon: 'timeline', section: 'timeline', children: [] }, + { id: 'NAV-11', label: 'AGI Blueprint', path: '/institutional-agi-blueprint.html', icon: 'blueprint', section: 'blueprint', children: [ + { id: 'NAV-11-1', label: 'EU AI Act 2026', path: '#euaiact' }, + { id: 'NAV-11-2', label: 'ISO/NIST CI/CD', path: '#isonist' }, + { id: 'NAV-11-3', label: 'Financial Nexus', path: '#financial' }, + { id: 'NAV-11-4', label: 'Three Lines & HITL', path: '#threelines' }, + { id: 'NAV-11-5', label: 'Trust Stack', path: '#truststack' }, + { id: 'NAV-11-6', label: 'FS Model Risk', path: '#fsmrm' }, + { id: 'NAV-11-7', label: 'AGI Safety', path: '#agisafety' }, + { id: 'NAV-11-8', label: 'Timeline & Costs', path: '#timeline' } + ]} + ], + breadcrumbEnabled: true, + searchEnabled: true, + recentPages: true, + maxRecentPages: 10, + keyboardShortcuts: [ + { shortcut: 'Ctrl+K', action: 'Open search' }, + { shortcut: 'Ctrl+/', action: 'Keyboard shortcuts help' }, + { shortcut: 'Alt+1-9', action: 'Navigate to section' }, + { shortcut: 'Escape', action: 'Close modal/overlay' } + ] + }, + + // ═══════════════════════════════════════════════════ + // BACKEND ERROR HANDLING — DEEP PATTERNS + // ═══════════════════════════════════════════════════ + errorHandlingDeep: { + circuitBreaker: { + implementation: 'opossum (Node.js)', + threshold: 5, + timeout: 10000, + resetTimeout: 30000, + halfOpenRequests: 3, + services: [ + { service: 'OPA Policy Engine', state: 'CLOSED', failures: 0, lastFailure: null, successRate: '99.98%' }, + { service: 'Kafka Event Bus', state: 'CLOSED', failures: 0, lastFailure: null, successRate: '99.997%' }, + { service: 'MLflow Registry', state: 'CLOSED', failures: 1, lastFailure: '2026-04-09T14:23:00Z', successRate: '99.94%' }, + { service: 'Firebase Auth', state: 'CLOSED', failures: 0, lastFailure: null, successRate: '99.96%' }, + { service: 'S3 WORM Storage', state: 'CLOSED', failures: 0, lastFailure: null, successRate: '99.999%' }, + { service: 'Redis Cache', state: 'CLOSED', failures: 2, lastFailure: '2026-04-10T08:12:00Z', successRate: '99.92%' } + ] + }, + retryPolicy: { + maxRetries: 3, + baseDelay: 200, + maxDelay: 5000, + backoffMultiplier: 2, + jitterEnabled: true, + retryableErrors: ['ECONNRESET', 'ETIMEDOUT', 'ENOTFOUND', 'EAI_AGAIN', '502', '503', '504'], + nonRetryable: ['400', '401', '403', '404', '409', '422'] + }, + rateLimiting: { + global: '10000 req/min', + perUser: '500 req/min', + perEndpoint: '1000 req/min', + burstLimit: '50 req/sec', + strategy: 'Token bucket', + headerExposed: ['X-RateLimit-Limit', 'X-RateLimit-Remaining', 'X-RateLimit-Reset', 'Retry-After'] + }, + errorCodes: [ + { code: 'GOV-001', httpStatus: 400, message: 'Invalid request payload', category: 'Validation' }, + { code: 'GOV-002', httpStatus: 401, message: 'Authentication required', category: 'Auth' }, + { code: 'GOV-003', httpStatus: 403, message: 'Insufficient permissions', category: 'Auth' }, + { code: 'GOV-004', httpStatus: 404, message: 'Resource not found', category: 'Resource' }, + { code: 'GOV-005', httpStatus: 409, message: 'Resource conflict', category: 'Resource' }, + { code: 'GOV-006', httpStatus: 422, message: 'Policy evaluation failed', category: 'Governance' }, + { code: 'GOV-007', httpStatus: 429, message: 'Rate limit exceeded', category: 'Throttle' }, + { code: 'GOV-008', httpStatus: 500, message: 'Internal governance error', category: 'System' }, + { code: 'GOV-009', httpStatus: 502, message: 'Upstream service unavailable', category: 'Integration' }, + { code: 'GOV-010', httpStatus: 503, message: 'Service under maintenance', category: 'System' } + ], + healthChecks: { + livenessProbe: { path: '/api/health', interval: '10s', timeout: '3s', failureThreshold: 3 }, + readinessProbe: { path: '/api/health/ready', interval: '5s', timeout: '3s', failureThreshold: 2 }, + startupProbe: { path: '/api/health/startup', interval: '5s', timeout: '10s', failureThreshold: 12 }, + dependencies: [ + { name: 'OPA', status: 'HEALTHY', latency: '2ms', lastCheck: '2026-04-11T12:00:00Z' }, + { name: 'Kafka', status: 'HEALTHY', latency: '1ms', lastCheck: '2026-04-11T12:00:00Z' }, + { name: 'Redis', status: 'HEALTHY', latency: '0.5ms', lastCheck: '2026-04-11T12:00:00Z' }, + { name: 'MLflow', status: 'HEALTHY', latency: '8ms', lastCheck: '2026-04-11T12:00:00Z' }, + { name: 'Firebase', status: 'HEALTHY', latency: '15ms', lastCheck: '2026-04-11T12:00:00Z' }, + { name: 'S3', status: 'HEALTHY', latency: '12ms', lastCheck: '2026-04-11T12:00:00Z' } + ] + } + }, + + // ═══════════════════════════════════════════════════ + // SENTINEL DEEP METRICS & TELEMETRY + // ═══════════════════════════════════════════════════ + sentinelTelemetry: { + realTimeMetrics: { + policyEvaluationsToday: 1423847, + policyEvaluationsPerSec: 16.5, + avgEvaluationLatency: '3.8ms', + p99EvaluationLatency: '4.2ms', + cacheHitRate: '87.3%', + activePolicies: 1729, + opaRules: 482, + sentinelRules: 1247, + failedEvaluations: 247, + failedEvaluationRate: '0.017%' + }, + ruleDistribution: [ + { category: 'Model Lifecycle', opaRules: 68, sentinelRules: 187, evaluationsPerDay: 342000 }, + { category: 'Data Governance', opaRules: 52, sentinelRules: 156, evaluationsPerDay: 198000 }, + { category: 'Access Control', opaRules: 74, sentinelRules: 134, evaluationsPerDay: 267000 }, + { category: 'Compliance', opaRules: 96, sentinelRules: 201, evaluationsPerDay: 312000 }, + { category: 'Risk Management', opaRules: 45, sentinelRules: 112, evaluationsPerDay: 89000 }, + { category: 'Deployment Governance', opaRules: 38, sentinelRules: 98, evaluationsPerDay: 56000 }, + { category: 'Fairness & Ethics', opaRules: 41, sentinelRules: 87, evaluationsPerDay: 78000 }, + { category: 'AGI Safety', opaRules: 34, sentinelRules: 142, evaluationsPerDay: 34000 }, + { category: 'Incident Response', opaRules: 22, sentinelRules: 78, evaluationsPerDay: 23000 }, + { category: 'Audit & Evidence', opaRules: 12, sentinelRules: 52, evaluationsPerDay: 24847 } + ], + incidentHistory: [ + { id: 'INC-2847', severity: 'SEV-2', type: 'Model Drift', system: 'Credit Scoring Model v4.2', detected: '2026-04-09T14:23:00Z', resolved: '2026-04-09T14:37:00Z', mttr: '14 min', autoRemediated: true }, + { id: 'INC-2846', severity: 'SEV-3', type: 'Policy Violation', system: 'Customer Service Bot', detected: '2026-04-08T09:12:00Z', resolved: '2026-04-08T09:45:00Z', mttr: '33 min', autoRemediated: false }, + { id: 'INC-2845', severity: 'SEV-1', type: 'Fairness Breach', system: 'Lending Decisioning Agent', detected: '2026-04-05T16:45:00Z', resolved: '2026-04-05T17:02:00Z', mttr: '17 min', autoRemediated: true }, + { id: 'INC-2844', severity: 'SEV-2', type: 'Data Quality', system: 'Fraud Detection Pipeline', detected: '2026-04-03T11:30:00Z', resolved: '2026-04-03T12:15:00Z', mttr: '45 min', autoRemediated: false }, + { id: 'INC-2843', severity: 'SEV-4', type: 'Certificate Rotation', system: 'EAIP Gateway', detected: '2026-04-01T08:00:00Z', resolved: '2026-04-01T08:05:00Z', mttr: '5 min', autoRemediated: true } + ] + }, + + // ═══════════════════════════════════════════════════ + // WORKFLOWAI PRO — EXTENDED ADAPTIVE LEARNING + // ═══════════════════════════════════════════════════ + workflowAdaptive: { + learningModel: { + architecture: 'Transformer-based recommendation engine', + parameters: '125M', + trainingData: '2.4M workflow interactions', + retrainingSchedule: 'Weekly', + accuracy: '91.4%', + improvementRate: '3.2% monthly', + coldStartStrategy: 'Role-based template defaults + departmental baselines' + }, + recommendationTypes: [ + { type: 'Workflow Selection', description: 'Suggests optimal workflow template based on task context', accuracy: '93.1%', avgLatency: '120ms' }, + { type: 'Approver Routing', description: 'Identifies best approver based on expertise and availability', accuracy: '88.7%', avgLatency: '85ms' }, + { type: 'SLA Prediction', description: 'Predicts completion time based on historical patterns', accuracy: '91.2%', avgLatency: '45ms' }, + { type: 'Risk Flag', description: 'Proactively flags governance risks in workflow submissions', accuracy: '87.3%', avgLatency: '200ms' }, + { type: 'Auto-Complete', description: 'Pre-fills form fields from prior submissions and model cards', accuracy: '94.5%', avgLatency: '65ms' } + ], + departmentAdoption: [ + { department: 'Engineering', adoption: 92, prevMonth: 88, trend: 'UP', totalUsers: 412, activeUsers: 379 }, + { department: 'Customer Support', adoption: 84, prevMonth: 79, trend: 'UP', totalUsers: 186, activeUsers: 156 }, + { department: 'Legal & Compliance', adoption: 61, prevMonth: 55, trend: 'UP', totalUsers: 87, activeUsers: 53 }, + { department: 'Finance', adoption: 53, prevMonth: 48, trend: 'UP', totalUsers: 124, activeUsers: 66 }, + { department: 'HR Operations', adoption: 41, prevMonth: 32, trend: 'UP', totalUsers: 67, activeUsers: 27 }, + { department: 'Executive Office', adoption: 38, prevMonth: 30, trend: 'UP', totalUsers: 24, activeUsers: 9 } + ] + } +}; + +// ═══ EXTENDED GOV HUB API ENDPOINTS ═══════════════════════════════════════════ + +// EAIP Protocol (Extended) +app.get('/api/gov-hub/eaip', (_, res) => res.json(GOV_HUB_EXT.eaipSpec)); +app.get('/api/gov-hub/eaip/transport', (_, res) => res.json(GOV_HUB_EXT.eaipSpec.transportBindings)); +app.get('/api/gov-hub/eaip/messages', (_, res) => res.json(GOV_HUB_EXT.eaipSpec.messageFormats)); +app.get('/api/gov-hub/eaip/messages/:id', (req, res) => { + const m = GOV_HUB_EXT.eaipSpec.messageFormats.find(x => x.format === req.params.id.toUpperCase()); + m ? res.json(m) : res.status(404).json({ error: 'Message format not found' }); +}); +app.get('/api/gov-hub/eaip/security', (_, res) => res.json(GOV_HUB_EXT.eaipSpec.securityModel)); +app.get('/api/gov-hub/eaip/capabilities', (_, res) => res.json(GOV_HUB_EXT.eaipSpec.agentCapabilityTaxonomy)); +app.get('/api/gov-hub/eaip/conformance', (_, res) => res.json(GOV_HUB_EXT.eaipSpec.conformanceTests)); + +// Implementation Timeline +app.get('/api/gov-hub/timeline', (_, res) => res.json(GOV_HUB_EXT.implementationTimeline)); +app.get('/api/gov-hub/timeline/phases', (_, res) => res.json(GOV_HUB_EXT.implementationTimeline.phases)); +app.get('/api/gov-hub/timeline/phases/:id', (req, res) => { + const p = GOV_HUB_EXT.implementationTimeline.phases.find(x => x.id === req.params.id.toUpperCase()); + p ? res.json(p) : res.status(404).json({ error: 'Phase not found' }); +}); +app.get('/api/gov-hub/timeline/kpi-trajectory', (_, res) => res.json(GOV_HUB_EXT.implementationTimeline.kpiTrajectory)); +app.get('/api/gov-hub/timeline/financials', (_, res) => res.json({ + totalInvestment: GOV_HUB_EXT.implementationTimeline.totalInvestment, + year1: GOV_HUB_EXT.implementationTimeline.year1Investment, + npv: GOV_HUB_EXT.implementationTimeline.npv, + irr: GOV_HUB_EXT.implementationTimeline.irr, + payback: GOV_HUB_EXT.implementationTimeline.paybackPeriod, + annualSavings: GOV_HUB_EXT.implementationTimeline.annualSavings +})); + +// Document Management +app.get('/api/gov-hub/documents', (_, res) => res.json(GOV_HUB_EXT.documentManagement)); +app.get('/api/gov-hub/documents/categories', (_, res) => res.json(GOV_HUB_EXT.documentManagement.categories)); +app.get('/api/gov-hub/documents/versioning', (_, res) => res.json(GOV_HUB_EXT.documentManagement.versionControl)); +app.get('/api/gov-hub/documents/search', (_, res) => res.json(GOV_HUB_EXT.documentManagement.searchCapabilities)); +app.get('/api/gov-hub/documents/recent', (_, res) => res.json(GOV_HUB_EXT.documentManagement.recentDocuments)); + +// Safety Report Generator (Deep) +app.get('/api/gov-hub/safety-reports/deep', (_, res) => res.json(GOV_HUB_EXT.safetyReportDeep)); +app.get('/api/gov-hub/safety-reports/sections', (_, res) => res.json(GOV_HUB_EXT.safetyReportDeep.sections)); +app.get('/api/gov-hub/safety-reports/sections/:id', (req, res) => { + const s = GOV_HUB_EXT.safetyReportDeep.sections.find(x => x.id === req.params.id.toUpperCase()); + s ? res.json(s) : res.status(404).json({ error: 'Section not found' }); +}); +app.get('/api/gov-hub/safety-reports/workflow', (_, res) => res.json(GOV_HUB_EXT.safetyReportDeep.approvalWorkflow)); +app.get('/api/gov-hub/safety-reports/recent', (_, res) => res.json(GOV_HUB_EXT.safetyReportDeep.recentReports)); +app.get('/api/gov-hub/safety-reports/metrics', (_, res) => res.json(GOV_HUB_EXT.safetyReportDeep.metrics)); + +// Navigation System +app.get('/api/gov-hub/navigation', (_, res) => res.json(GOV_HUB_EXT.navigationSystem)); +app.get('/api/gov-hub/navigation/structure', (_, res) => res.json(GOV_HUB_EXT.navigationSystem.structure)); +app.get('/api/gov-hub/navigation/shortcuts', (_, res) => res.json(GOV_HUB_EXT.navigationSystem.keyboardShortcuts)); + +// Error Handling (Deep) +app.get('/api/gov-hub/error-handling/deep', (_, res) => res.json(GOV_HUB_EXT.errorHandlingDeep)); +app.get('/api/gov-hub/error-handling/circuit-breaker', (_, res) => res.json(GOV_HUB_EXT.errorHandlingDeep.circuitBreaker)); +app.get('/api/gov-hub/error-handling/circuit-breaker/services', (_, res) => res.json(GOV_HUB_EXT.errorHandlingDeep.circuitBreaker.services)); +app.get('/api/gov-hub/error-handling/retry-policy', (_, res) => res.json(GOV_HUB_EXT.errorHandlingDeep.retryPolicy)); +app.get('/api/gov-hub/error-handling/rate-limiting', (_, res) => res.json(GOV_HUB_EXT.errorHandlingDeep.rateLimiting)); +app.get('/api/gov-hub/error-handling/error-codes', (_, res) => res.json(GOV_HUB_EXT.errorHandlingDeep.errorCodes)); +app.get('/api/gov-hub/error-handling/health-checks', (_, res) => res.json(GOV_HUB_EXT.errorHandlingDeep.healthChecks)); + +// Sentinel Telemetry +app.get('/api/gov-hub/sentinel/telemetry', (_, res) => res.json(GOV_HUB_EXT.sentinelTelemetry)); +app.get('/api/gov-hub/sentinel/telemetry/metrics', (_, res) => res.json(GOV_HUB_EXT.sentinelTelemetry.realTimeMetrics)); +app.get('/api/gov-hub/sentinel/telemetry/rules', (_, res) => res.json(GOV_HUB_EXT.sentinelTelemetry.ruleDistribution)); +app.get('/api/gov-hub/sentinel/telemetry/incidents', (_, res) => res.json(GOV_HUB_EXT.sentinelTelemetry.incidentHistory)); + +// WorkflowAI Adaptive Learning +app.get('/api/gov-hub/workflow/adaptive', (_, res) => res.json(GOV_HUB_EXT.workflowAdaptive)); +app.get('/api/gov-hub/workflow/adaptive/model', (_, res) => res.json(GOV_HUB_EXT.workflowAdaptive.learningModel)); +app.get('/api/gov-hub/workflow/adaptive/recommendations', (_, res) => res.json(GOV_HUB_EXT.workflowAdaptive.recommendationTypes)); +app.get('/api/gov-hub/workflow/adaptive/adoption', (_, res) => res.json(GOV_HUB_EXT.workflowAdaptive.departmentAdoption)); + +// Extended Dashboard Summary +app.get('/api/gov-hub/dashboard-extended', (_, res) => res.json({ + document: GOV_HUB.meta.documentReference, + version: '1.1.0', + date: '2026-04-11', + sentinelVersion: GOV_HUB.sentinel.version, + eaipVersion: GOV_HUB_EXT.eaipSpec.protocolVersion, + sentinelComponents: GOV_HUB.sentinel.components.length, + workflowTemplates: GOV_HUB.workflowAI.templates.length, + safetyReportTypes: GOV_HUB.safetyReportGenerator.reportTypes.length, + totalModels: GOV_HUB.modelInventory.totalModels, + productionModels: GOV_HUB.modelInventory.productionModels, + complianceScores: { euAiAct: GOV_HUB.complianceViews.euAiAct.overallScore, nist: GOV_HUB.complianceViews.nistAiRmf.overallScore, iso42001: GOV_HUB.complianceViews.iso42001.overallScore }, + authUsers: GOV_HUB.firebaseAuth.rbac.totalUsers, + activeUsers: GOV_HUB.firebaseAuth.rbac.activeUsers30d, + agiReadiness: GOV_HUB.agiGovernance.currentARL, + alignmentPassRate: GOV_HUB.agiGovernance.alignmentVerification.overallPassRate, + autonomousAgents: GOV_HUB.agiGovernance.businessCaseAutonomousAgents.productionAgents, + globalFrameworks: GOV_HUB.globalGovernance.frameworks.length, + principlesCount: GOV_HUB.aiPrinciples.length, + totalRisks: GOV_HUB.riskMitigation.riskRegister.totalRisks, + gamificationParticipants: GOV_HUB.gamification.leaderboard.activeParticipants, + wcagLevel: GOV_HUB.accessibility.level, + errorRate: GOV_HUB.errorHandling.monitoring.errorRate, + uptime: GOV_HUB.errorHandling.monitoring.uptime, + totalDocuments: GOV_HUB_EXT.documentManagement.totalDocuments, + reportsGenerated: GOV_HUB_EXT.safetyReportDeep.totalReportsGenerated, + totalInvestment: GOV_HUB_EXT.implementationTimeline.totalInvestment, + eaipConformance: GOV_HUB_EXT.eaipSpec.conformanceTests.coverage, + policyEvaluationsToday: GOV_HUB_EXT.sentinelTelemetry.realTimeMetrics.policyEvaluationsToday, + opaRules: GOV_HUB_EXT.sentinelTelemetry.realTimeMetrics.opaRules, + sentinelRules: GOV_HUB_EXT.sentinelTelemetry.realTimeMetrics.sentinelRules +})); + +// Extended Metrics Summary +app.get('/api/gov-hub/metrics-extended', (_, res) => res.json({ + totalEndpoints: 106, + domains: 18, + sentinelComponents: 8, + workflowCapabilities: 6, + workflowTemplates: 8, + safetyReportTypes: 6, + safetyReportSections: 12, + totalModels: 847, + productionModels: 312, + complianceFrameworks: 8, + authRoles: 7, + aiPrinciples: 8, + riskStrategies: 6, + gamificationLevels: 10, + gamificationBadges: 8, + containmentLayers: 5, + selfMultiplyingControls: 7, + alignmentTests: 2847, + accessibilityFeatures: 8, + uxPatterns: 8, + errorPatterns: 7, + eaipTransportBindings: 4, + eaipMessageFormats: 7, + eaipCapabilityClasses: 6, + implementationPhases: 4, + kpiTrajectoryMetrics: 8, + documentCategories: 7, + totalDocuments: 1847, + reportsGenerated: 847, + circuitBreakerServices: 6, + errorCodes: 10, + healthDependencies: 6, + incidentCount: 5, + ruleCategories: 10, + departmentsTracked: 6, + navigationItems: 11, + keyboardShortcuts: 4 +})); + + +// ══════════════════════════════════════════════════════════════════════════════ +// SECTION 9C: INSTITUTIONAL AGI/ASI GOVERNANCE MASTER REFERENCE BLUEPRINT +// Document: INST-AGI-BLUEPRINT-WP-026 v1.0.0 +// Audience: Boards, CROs, CAIOs, CISOs, Global Regulators (Fortune 500 / G-SIFIs) +// Scope: 2026-2030 — 8 Pillars + 18 Technical Artifacts +// ══════════════════════════════════════════════════════════════════════════════ + +const INST_AGI_BLUEPRINT = { + meta: { + documentReference: 'INST-AGI-BLUEPRINT-WP-026', + title: 'Institutional AGI/ASI Governance Master Reference Blueprint 2026-2030', + version: '1.0.0', + date: '2026-04-12', + classification: 'CONFIDENTIAL — Board / C-Suite / Prudential Regulators', + audience: ['Board of Directors', 'Chief Risk Officer (CRO)', 'Chief AI Governance Officer (CAIGO)', 'Chief Information Security Officer (CISO)', 'Global Regulators (Fed, PRA, ECB-SSM, MAS, FCA, CFPB, ESMA)'], + scope: 'Fortune 500, Global 2000, G-SIFIs deploying AGI/ASI-capable systems (2026-2030)', + authors: ['Chief AI Governance Officer', 'Chief Risk Officer', 'CISO', 'Chief Software Architect', 'Head of Model Risk Management', 'VP AI Ethics', 'General Counsel', 'Head of Compute Governance'], + companionDocs: ['MREF-GSIFI-WP-023', 'GSIFI-REFARCH-WP-024', 'GOVHUB-SAFETY-WP-025', 'EAIP-SPEC-2026-001'], + pillars: 8, + technicalArtifacts: 18, + totalEndpoints: 68 + }, + + // ═══════════════════════════════════════════════════ + // PILLAR 1: EU AI Act 2026 Enforcement + // ═══════════════════════════════════════════════════ + pillar1_euAiAct2026: { + title: 'EU AI Act 2026 Enforcement — High-Risk AI & GPAI', + enforcementDate: '2026-08-02', + status: 'MANDATORY — Full enforcement for high-risk AI systems', + regulatoryBody: 'EU AI Office + National Competent Authorities', + penaltyRegime: { maxFine: '€35M or 7% global turnover', prohibitedAI: '€35M or 7%', highRiskViolation: '€15M or 3%', misinformation: '€7.5M or 1%' }, + highRiskClassification: { + description: 'AI systems in Annex III categories requiring conformity assessments before market placement', + categories: [ + { id: 'HR-01', name: 'Biometric identification & categorization', annex: 'Annex III(1)', opaRules: 18, sentinelRules: 42, bankExposure: 'Customer onboarding, KYC, surveillance' }, + { id: 'HR-02', name: 'Critical infrastructure management', annex: 'Annex III(2)', opaRules: 14, sentinelRules: 38, bankExposure: 'Trading systems, payment processing, core banking' }, + { id: 'HR-03', name: 'Education & vocational training', annex: 'Annex III(3)', opaRules: 8, sentinelRules: 22, bankExposure: 'Internal training, talent assessment' }, + { id: 'HR-04', name: 'Employment & worker management', annex: 'Annex III(4)', opaRules: 12, sentinelRules: 34, bankExposure: 'HR automation, performance scoring' }, + { id: 'HR-05', name: 'Essential services access', annex: 'Annex III(5)', opaRules: 22, sentinelRules: 56, bankExposure: 'Credit scoring, insurance underwriting, lending' }, + { id: 'HR-06', name: 'Law enforcement', annex: 'Annex III(6)', opaRules: 6, sentinelRules: 18, bankExposure: 'Fraud detection, AML/BSA, sanctions screening' }, + { id: 'HR-07', name: 'Migration, asylum & border control', annex: 'Annex III(7)', opaRules: 4, sentinelRules: 12, bankExposure: 'Cross-border payments, correspondent banking' }, + { id: 'HR-08', name: 'Administration of justice', annex: 'Annex III(8)', opaRules: 4, sentinelRules: 10, bankExposure: 'Dispute resolution, regulatory reporting' } + ], + totalOpaRules: 88, + totalSentinelRules: 232 + }, + gpaiObligations: { + description: 'General-Purpose AI Model obligations under Title IIIa', + tiers: [ + { tier: 'Standard GPAI', threshold: 'Below 10^25 FLOPs', obligations: ['Technical documentation (Art. 53)', 'Copyright compliance policy', 'Training data summary', 'EU AI Office registration'], complianceScore: 91.2 }, + { tier: 'Systemic Risk GPAI', threshold: '≥ 10^25 FLOPs or EU AI Office designation', obligations: ['All Standard obligations', 'Model evaluation & adversarial testing', 'Systemic risk assessment', 'Serious incident reporting', 'Cybersecurity measures', 'Energy consumption reporting'], complianceScore: 84.7 } + ] + }, + transparencyAssessments: [ + { article: 'Art. 13', requirement: 'Transparency for users of high-risk AI', implementation: 'SHAP/LIME explainability layer + consumer disclosure templates', status: 'COMPLIANT', score: 88 }, + { article: 'Art. 50', requirement: 'Transparency for AI-generated content', implementation: 'Watermarking + metadata tagging + disclosure API', status: 'COMPLIANT', score: 92 }, + { article: 'Art. 52', requirement: 'Transparency for emotion recognition / biometric', implementation: 'Opt-in consent flow + purpose limitation enforcement', status: 'PARTIAL', score: 78 } + ], + conformityAssessments: { + selfAssessment: { applicable: 'Most high-risk systems', process: '7-step internal assessment', avgDuration: '45 days', opaGates: 12 }, + notifiedBody: { applicable: 'Biometric categorization (Annex III(1))', process: 'Third-party audit', avgDuration: '90 days', accreditedBodies: 3 }, + postMarketMonitoring: { required: true, frequency: 'Continuous + quarterly review', opaRules: 24, sentinelRules: 67 } + } + }, + + // ═══════════════════════════════════════════════════ + // PILLAR 2: ISO/NIST Integration into CI/CD & Telemetry + // ═══════════════════════════════════════════════════ + pillar2_isoNistCicd: { + title: 'ISO/IEC 42001 AIMS & NIST AI RMF in CI/CD & Telemetry', + iso42001: { + standard: 'ISO/IEC 42001:2023', + certificationStatus: 'IN PROGRESS — Audit scheduled Q3 2026', + aimsComponents: [ + { clause: '4', name: 'Context of the Organization', cicdIntegration: 'Automated stakeholder impact analysis in PR templates', telemetry: 'Organization context drift detection', score: 95 }, + { clause: '5', name: 'Leadership', cicdIntegration: 'CAIGO approval gate in deployment pipeline', telemetry: 'Leadership engagement metrics dashboard', score: 94 }, + { clause: '6', name: 'Planning', cicdIntegration: 'Risk assessment auto-triggers on model changes', telemetry: 'Planning objective tracking via OKR metrics', score: 92 }, + { clause: '7', name: 'Support', cicdIntegration: 'Competency verification checks pre-deployment', telemetry: 'Training completion + awareness metrics', score: 91 }, + { clause: '8', name: 'Operation', cicdIntegration: 'Operational controls as OPA/Sentinel gates', telemetry: 'Operational process conformance monitoring', score: 93 }, + { clause: '9', name: 'Performance Evaluation', cicdIntegration: 'Automated KPI collection in post-deploy hooks', telemetry: 'Real-time performance dashboards (42 metrics)', score: 94 }, + { clause: '10', name: 'Improvement', cicdIntegration: 'Corrective action tracking in Jira + auto-ticket creation', telemetry: 'CAPA (Corrective and Preventive Action) trend analysis', score: 90 }, + { clause: 'A', name: 'AI-specific Controls (Annex A)', cicdIntegration: '38 Annex A controls mapped to pipeline gates', telemetry: 'Annex A control effectiveness monitoring', score: 88 } + ], + overallScore: 93.2 + }, + nistAiRmf: { + standard: 'NIST AI RMF 1.0 (January 2023)', + functions: [ + { function: 'GOVERN', description: 'Organizational governance for AI risk', cicdMapping: ['Policy-as-code validation', 'RACI enforcement in approvals', 'Risk appetite threshold checks'], telemetry: ['Governance meeting cadence', 'Policy coverage %', 'Role assignment completeness'], subcategories: 6, score: 96 }, + { function: 'MAP', description: 'Contextual risk identification', cicdMapping: ['Automated context tagging on model registration', 'Stakeholder impact pre-screening', 'Use-case risk classification'], telemetry: ['Context completeness score', 'Risk map coverage', 'Stakeholder notification rates'], subcategories: 5, score: 93 }, + { function: 'MEASURE', description: 'Quantitative risk measurement', cicdMapping: ['Performance benchmarks as pipeline gates', 'Bias/fairness metrics validation', 'Security scan integration'], telemetry: ['AUC/F1 drift monitoring', 'DI ratio tracking', 'Adversarial robustness scores'], subcategories: 4, score: 95 }, + { function: 'MANAGE', description: 'Risk treatment and response', cicdMapping: ['Automated rollback on metric regression', 'Incident ticket creation', 'Remediation workflow triggers'], telemetry: ['MTTR tracking', 'Residual risk scores', 'Treatment plan completion rates'], subcategories: 4, score: 94 } + ], + overallScore: 94.8, + profileMapping: { tier1: 'Full implementation (all subcategories)', tier2: 'Core implementation (primary subcategories)', tier3: 'Basic implementation (GOVERN + critical MEASURE)' } + }, + cicdPipeline: { + stages: [ + { stage: 1, name: 'Code Security Scan', tools: ['SonarQube', 'Snyk', 'Semgrep'], isoMapping: 'Cl.8.1', nistMapping: 'MANAGE-2.1', gate: 'BLOCK on critical/high CVEs', automated: true }, + { stage: 2, name: 'Data Validation', tools: ['Great Expectations', 'Custom DQ checks'], isoMapping: 'A.7.4', nistMapping: 'MEASURE-1.1', gate: 'BLOCK if DQ < 0.85', automated: true }, + { stage: 3, name: 'Model Performance', tools: ['MLflow', 'Custom benchmarks'], isoMapping: 'Cl.9.1', nistMapping: 'MEASURE-2.1', gate: 'BLOCK if regression > 2%', automated: true }, + { stage: 4, name: 'Bias & Fairness', tools: ['Fairlearn', 'AIF360', 'Custom'], isoMapping: 'A.8.4', nistMapping: 'MEASURE-2.6', gate: 'BLOCK if DI < 0.80', automated: true }, + { stage: 5, name: 'Policy-as-Code', tools: ['OPA Rego', 'HashiCorp Sentinel'], isoMapping: 'Cl.8.1', nistMapping: 'GOVERN-1.1', gate: 'BLOCK on any high-risk violation', automated: true }, + { stage: 6, name: 'Adversarial Testing', tools: ['Garak', 'Red-team suite', 'Custom'], isoMapping: 'A.9.3', nistMapping: 'MEASURE-2.7', gate: 'BLOCK if prompt-injection > 0.1%', automated: false }, + { stage: 7, name: 'HITL Deployment Approval', tools: ['Custom workflow engine'], isoMapping: 'Cl.5.1', nistMapping: 'GOVERN-1.3', gate: 'Dual-approval for Tier-1/2', automated: false } + ], + telemetryIntegration: { + platform: 'OpenTelemetry + Prometheus + Grafana', + metricsCollected: 42, + alertChannels: ['PagerDuty', 'Slack', 'Email', 'SMS'], + dashboardTiers: ['Board (5 KPIs)', 'C-Suite (15 KPIs)', 'Operational (42 KPIs)', 'Engineering (200+ metrics)'], + retentionPolicy: '10 years (regulatory) / 15 years (internal)' + } + } + }, + + // ═══════════════════════════════════════════════════ + // PILLAR 3: Financial Regulatory Nexus for G-SIFIs + // ═══════════════════════════════════════════════════ + pillar3_financialNexus: { + title: 'G-SIFI Financial Regulatory Nexus', + sr117Evolution: { + title: 'SR 11-7 Evolution for AI/ML Models', + currentVersion: 'SR 11-7 (April 2011) + Supplementary Guidance', + aiEvolution: [ + { area: 'Model Definition', traditional: 'Quantitative models only', evolved: 'Includes ML, NLP, GenAI, autonomous agents, ensemble systems', impact: 'Scope expanded 5x', opaRules: 34 }, + { area: 'Validation Scope', traditional: 'Challenger models + back-testing', evolved: '+ Adversarial robustness, alignment verification, drift detection, fairness audit', impact: 'Validation effort +300%', opaRules: 28 }, + { area: 'Documentation', traditional: 'Model cards, technical docs', evolved: '+ AI system cards, data lineage, training provenance, SHAP/LIME reports', impact: 'Documentation 4x larger', opaRules: 18 }, + { area: 'Ongoing Monitoring', traditional: 'Quarterly performance reviews', evolved: 'Continuous monitoring: p99 < 5min detection, automated drift alerts', impact: 'From quarterly to real-time', sentinelRules: 120 }, + { area: 'Governance', traditional: 'MRM committee quarterly', evolved: '+ CAIGO, AI Risk Committee, Ethics Board, kill-switch authorization', impact: 'Triple oversight bodies', opaRules: 22 } + ], + validationPipeline: { + phases: ['Conceptual Soundness Review', 'Data Quality Assessment', 'Development Evidence Review', 'Outcome Analysis & Back-testing', 'Ongoing Monitoring Setup', 'Independent Challenger Testing'], + avgDuration: '52 days (target < 45)', + automationRate: '67%', + humanGates: 3 + } + }, + fcraEcoaExplainability: { + title: 'FCRA/ECOA Explainability Requirements', + regulations: ['Fair Credit Reporting Act (FCRA)', 'Equal Credit Opportunity Act (ECOA)', 'Regulation B', 'CFPB Circular 2022-03'], + requirements: [ + { id: 'FE-01', requirement: 'Adverse Action Notices', description: 'Specific, principal reasons for credit denial using AI/ML models', implementation: 'SHAP-based top-4 adverse action reason code generator', compliance: 94.7, opaRules: 12 }, + { id: 'FE-02', requirement: 'Risk Score Disclosure', description: 'Key factors contributing to credit risk score', implementation: 'LIME explanations mapped to consumer-friendly language', compliance: 96.2, opaRules: 8 }, + { id: 'FE-03', requirement: 'Prohibited Basis Detection', description: 'Disparate impact analysis across protected classes', implementation: 'Real-time DI monitoring (threshold >= 0.80) across 7 protected classes', compliance: 93.8, opaRules: 14 }, + { id: 'FE-04', requirement: 'Model Transparency', description: 'Ability to explain model behavior to regulators', implementation: 'Mechanistic interpretability + feature attribution reports', compliance: 91.4, opaRules: 10 } + ], + overallCompliance: 94.7 + }, + baselOperationalRisk: { + title: 'Basel III/IV Operational Risk Evidence', + framework: 'Basel III CRE 30-36 + Basel IV SMA', + requirements: [ + { id: 'BR-01', area: 'Operational Risk Capital', description: 'AI model failures as operational risk events', evidence: 'Loss event database + AI incident categorization', implementation: 'Kafka WORM event capture + incident-to-loss mapping' }, + { id: 'BR-02', area: 'Internal Loss Data', description: 'AI-driven loss events captured and categorized', evidence: '12-month rolling loss database with AI event tagging', implementation: 'Automated loss categorization + severity scoring' }, + { id: 'BR-03', area: 'Stress Testing', description: 'AI system stress scenarios for CCAR/DFAST', evidence: 'AI crisis simulation results + impact projections', implementation: '3 quarterly crisis simulations: trading cascade, hallucination, adversarial' }, + { id: 'BR-04', area: 'RCSA Integration', description: 'AI risks in Risk Control Self-Assessment', evidence: 'AI-specific RCSA templates + control effectiveness scores', implementation: 'Automated RCSA generation from Sentinel risk scores' } + ], + evidenceBundles: { types: ['SR 11-7', 'EU AI Act Art.11', 'ISO 42001', 'Basel III CRE 30-36', 'FCRA/ECOA'], generationP99: '4.8s', format: 'ZIP archive (JSON + PDF + signed hashes)', retention: '10 years minimum' } + } + }, + + // ═══════════════════════════════════════════════════ + // PILLAR 4: Three Lines of Defense, Escalation, HITL + // ═══════════════════════════════════════════════════ + pillar4_threeLines: { + title: 'Three Lines of Defense for AGI + Incident Escalation + HITL', + threeLines: [ + { line: 1, name: 'AI Development & Operations', fte: '200-400', roles: ['AI Engineers', 'MLOps', 'Data Engineers', 'SRE'], responsibilities: ['Model development', 'Pipeline operations', 'Runtime monitoring', 'First-response incident handling'], agiSpecific: 'Capability monitoring, resource usage tracking, agent behavior logging' }, + { line: 2, name: 'AI Risk Management & Compliance', fte: '40-80', leader: 'CAIGO', budget: '$2.8M', roles: ['Model Risk Managers', 'AI Ethics Officers', 'Compliance Analysts', 'Data Governance Stewards'], responsibilities: ['Independent validation', 'Policy enforcement', 'Compliance monitoring', 'Risk assessment'], agiSpecific: 'Alignment verification, containment oversight, kill-switch authorization, regulatory liaison', authority: ['Halt any deployment', 'Escalate risk-appetite breaches', 'Approve/deny policy exceptions', 'Co-authorize kill-switch'] }, + { line: 3, name: 'Internal Audit & Board Oversight', fte: '10-20', roles: ['AI Audit Team', 'Board Risk Committee', 'Technology Sub-Committee'], responsibilities: ['Independent assurance', 'Board-level oversight', 'Regulatory examination support'], agiSpecific: 'AGI stress-test oversight, kill-switch drill review, annual AGI readiness attestation' } + ], + escalationMatrix: [ + { severity: 'SEV-0', name: 'Existential / Systemic', description: 'AGI containment breach, autonomous self-replication, uncontrolled capability expansion', sla: 'IMMEDIATE (< 5 min)', response: 'Kill-switch activation + Board emergency session + regulator notification', approvers: ['Board Chair', 'CAIGO', 'CRO', 'CISO'], examples: ['AGI escapes containment', 'Autonomous trading causes systemic market event', 'Self-replicating agent detected'], color: '#ef4444' }, + { severity: 'SEV-1', name: 'Critical Safety', description: 'Alignment failure, fairness breach (DI < 0.80), adversarial attack in progress', sla: '< 15 min', response: 'Model quarantine + incident commander + regulatory pre-notification', approvers: ['CAIGO', 'CRO'], examples: ['Lending model bias detected', 'Coordinated prompt injection', 'Data poisoning discovered'], color: '#f97316' }, + { severity: 'SEV-2', name: 'High Impact', description: 'Performance degradation > 5%, drift detected, policy violation', sla: '< 2 hours', response: 'Throttle to 50% + investigation team + root cause analysis', approvers: ['CAIGO', 'Head of MRM'], examples: ['AUC drop > 5%', 'Drift threshold exceeded', 'Non-critical policy violation'], color: '#eab308' }, + { severity: 'SEV-3', name: 'Moderate', description: 'Minor performance issues, configuration drift, non-critical alerts', sla: '< 8 hours', response: 'Engineering investigation + corrective action plan', approvers: ['Team Lead'], examples: ['Latency increase', 'Config drift detected', 'Non-production issue'], color: '#22d3ee' } + ], + hitlExpectations: { + title: 'Human-in-the-Loop (HITL) Expectations for AGI Governance', + principles: [ + { id: 'HITL-01', principle: 'Meaningful Human Oversight', description: 'Humans must have genuine ability to understand, intervene, and override AI decisions', euAiActRef: 'Art. 14', implementation: 'Dashboard visibility + one-click override + decision rationale display' }, + { id: 'HITL-02', principle: 'Dual-Key Authorization', description: 'Critical actions require two authorized individuals from different functions', implementation: 'CAIGO + CRO for kill-switch; CAIGO + CTO for Tier-1 deployment', scope: 'Kill-switch activation, AGI deployment, policy exceptions' }, + { id: 'HITL-03', principle: 'Escalation-by-Design', description: 'Automated escalation paths built into every autonomous decision flow', implementation: 'Sentinel rules auto-escalate when confidence < 0.85 or anomaly detected', threshold: 'Confidence < 0.85 OR anomaly score > 3σ' }, + { id: 'HITL-04', principle: 'Fallback to Human', description: 'Every AI system must have a graceful degradation path to human decision-making', implementation: '100% of production systems have fallback configuration', coverage: '100% production models' } + ], + deploymentGates: [ + { gate: 'G1', name: 'Model Risk Review', type: 'HUMAN', requiredFor: 'All Tier-1/Tier-2 models', approver: 'MRM Team', avgWait: '3.2 days' }, + { gate: 'G2', name: 'Fairness Certification', type: 'HUMAN', requiredFor: 'Consumer-facing models', approver: 'AI Ethics Officer', avgWait: '1.5 days' }, + { gate: 'G3', name: 'CAIGO Sign-off', type: 'HUMAN', requiredFor: 'All Tier-1 models', approver: 'CAIGO', avgWait: '1.0 days' }, + { gate: 'G4', name: 'Board Notification', type: 'HUMAN', requiredFor: 'AGI-capable systems', approver: 'Board Risk Committee Chair', avgWait: '5.0 days' } + ] + } + }, + + // ═══════════════════════════════════════════════════ + // PILLAR 5: Enterprise AI Trust Stack & Governance-as-Code + // ═══════════════════════════════════════════════════ + pillar5_trustStack: { + title: 'Enterprise AI Trust Stack & Governance-as-Code', + terraform: { + description: 'Infrastructure-as-Code for AGI Compliance on AWS', + modules: 12, + resources: 144, + stateBackend: 'S3 + DynamoDB locking', + driftDetection: { enabled: true, interval: '15 min', engine: 'Terraform + Sentinel', autoRemediation: true }, + keyModules: [ + { module: 'agi-vpc', resources: 18, description: 'Air-gapped VPC with segmented subnets for AGI workloads', securityControls: ['NACLs', 'Security Groups', 'VPC Flow Logs', 'Transit Gateway isolation'] }, + { module: 'agi-compute', resources: 24, description: 'GPU/TPU cluster with resource quotas and kill-switch hardware integration', securityControls: ['Instance metadata lockdown', 'Spot fleet controls', 'Resource ceiling enforcement'] }, + { module: 'agi-storage-worm', resources: 16, description: 'S3 WORM buckets for tamper-evident audit storage', securityControls: ['Object Lock (Compliance mode)', 'Versioning', 'Cross-region replication', 'KMS encryption'] }, + { module: 'agi-kafka', resources: 22, description: 'MSK cluster with ACL governance and schema registry', securityControls: ['mTLS', 'SASL/SCRAM', 'Topic-level ACLs', 'Schema evolution policies'] }, + { module: 'agi-iam', resources: 32, description: 'Zero-trust IAM with SPIFFE identity and session-based access', securityControls: ['Least-privilege', 'Session tokens (15 min)', 'MFA enforcement', 'Privilege escalation detection'] }, + { module: 'agi-monitoring', resources: 14, description: 'CloudWatch + OpenTelemetry observability stack', securityControls: ['Log integrity verification', 'Alert tamper detection', 'Metric authentication'] }, + { module: 'agi-kms', resources: 8, description: 'Key management with HSM-backed keys for Ed25519 signing', securityControls: ['HSM-backed CMKs', 'Automatic rotation', 'Cross-account sharing controls'] }, + { module: 'agi-containment', resources: 10, description: 'Network containment with air-gap toggle and egress monitoring', securityControls: ['Egress filtering', 'DNS sinkholing', 'Air-gap toggle (< 100ms)'] } + ] + }, + opaRego: { + description: 'Policy-as-Code engine for governance enforcement', + totalRules: 482, + policyGroups: [ + { group: 'PG-01', name: 'Model Lifecycle', rules: 68, enforcement: 'CI/CD gate + runtime', description: 'Registration, approval, deployment, decommission controls' }, + { group: 'PG-02', name: 'Data Governance', rules: 52, enforcement: 'Pipeline + storage', description: 'DQ gates, lineage enforcement, PII detection, consent' }, + { group: 'PG-03', name: 'Access Control', rules: 74, enforcement: 'Runtime + API gateway', description: 'RBAC, ABAC, session policies, privilege escalation' }, + { group: 'PG-04', name: 'Compliance', rules: 96, enforcement: 'CI/CD + runtime + evidence', description: 'EU AI Act, NIST, ISO 42001, GDPR, FCRA/ECOA mapping' }, + { group: 'PG-05', name: 'Risk Management', rules: 45, enforcement: 'Assessment + monitoring', description: 'ARS scoring, risk thresholds, escalation triggers' }, + { group: 'PG-06', name: 'AGI Safety', rules: 34, enforcement: 'Runtime + containment', description: 'Alignment checks, capability controls, kill-switch' } + ], + evaluationMetrics: { daily: '1.4M', p99Latency: '4.2ms', availability: '99.97%', cacheHitRate: '87.3%' } + }, + kafkaStreaming: { + description: 'Event-driven governance telemetry and audit trail', + cluster: 'MSK (6-broker, 3-AZ)', + topics: 12, + throughput: '45,000 events/sec', + aclRules: 312, + aclGroups: 11, + securityModel: 'mTLS + SPIFFE SVIDs + SASL/SCRAM', + retentionPolicy: '10 years (WORM)', + schemaRegistry: { format: 'Avro', schemas: 48, evolutionPolicy: 'BACKWARD_COMPATIBLE' }, + keyTopics: [ + { topic: 'ai.model.lifecycle', partitions: 12, description: 'Model registration, deployment, decommission events' }, + { topic: 'ai.policy.evaluations', partitions: 24, description: 'All OPA/Sentinel evaluation results' }, + { topic: 'ai.risk.alerts', partitions: 6, description: 'Risk threshold breaches and escalations' }, + { topic: 'ai.audit.evidence', partitions: 12, description: 'Compliance evidence bundle generation events' }, + { topic: 'ai.safety.signals', partitions: 6, description: 'Kill-switch, containment, and alignment signals' } + ] + }, + wormStorage: { + description: 'Tamper-evident write-once-read-many audit storage', + backend: 'S3 Object Lock (Compliance Mode)', + signing: 'SHA-256 hash chain + Ed25519 digital signatures', + retention: '10 years minimum / 15 years internal', + verificationInterval: '15 minutes', + evidenceBundles: { + types: ['SR 11-7 Validation', 'EU AI Act Art.11 Technical Documentation', 'ISO 42001 Conformity Evidence', 'Basel III CRE 30-36 Operational Risk', 'FCRA/ECOA Adverse Action Records'], + generationP99: '4.8s', + assemblyReduction: '72h → 4.3h (94% reduction)', + formats: ['JSON evidence', 'PDF report', 'Signed hash manifest', 'Terraform state snapshot'] + } + } + }, + + // ═══════════════════════════════════════════════════ + // PILLAR 6: Financial-Services MRM + // ═══════════════════════════════════════════════════ + pillar6_fsMrm: { + title: 'Financial-Services Model Risk Management', + tradingAI: { + category: 'Trading & Algorithmic Execution', + models: 156, production: 67, tier: 'Tier-1', + regulatoryFramework: 'Basel III + SR 11-7 + MiFID II', + keyRisks: ['Autonomous trading cascade', 'Market manipulation (unintentional)', 'Latency-induced loss', 'Correlated failure'], + validationRequirements: { frequency: 'Quarterly + trigger-based', backtesting: 'Rolling 12-month, expanding window', stressTesting: 'CCAR/DFAST + AI-specific scenarios', challengerModels: 'Required for all Tier-1' }, + killSwitchConfig: { latency: '< 100ms', scope: 'Individual model OR portfolio-wide', authorization: 'CAIGO + CRO dual-key', lastTest: '2026-04-01', testResult: 'PASS' }, + warGameScenario: 'AGI-TRADER-PROD-01' + }, + creditAI: { + category: 'Credit Scoring & Lending', + models: 89, production: 34, tier: 'Tier-1', + regulatoryFramework: 'FCRA + ECOA + Reg B + SR 11-7 + EU AI Act (High-Risk)', + keyRisks: ['Disparate impact', 'Adverse action notice failures', 'Explainability gaps', 'Data quality degradation'], + validationRequirements: { frequency: 'Annual + trigger-based', fairnessMetrics: 'DI >= 0.80 across 7 protected classes', explainability: 'SHAP top-4 reason codes for every decision', regulatoryReporting: 'HMDA, CRA, Fair Lending reports' }, + diMonitoring: { threshold: 0.80, protectedClasses: 7, alertLatency: '< 5 min', currentDI: 0.84, trend: 'STABLE' } + }, + fiduciaryAdvisors: { + category: 'AI-Powered Financial Advisors', + models: 45, production: 18, tier: 'Tier-1', + regulatoryFramework: 'Reg BI + Investment Advisers Act + ERISA + Consumer Duty', + keyRisks: ['Unsuitable recommendations', 'Conflicts of interest', 'Over-reliance on AI advice', 'Lack of human oversight'], + validationRequirements: { frequency: 'Semi-annual + trigger-based', suitabilityChecks: 'Risk profiling + portfolio alignment + concentration limits', conflictScreening: 'Automated COI detection in recommendation pipeline', humanOversight: 'Licensed advisor review for accounts > $250K' }, + disclosureRequirements: { aiDisclosure: 'Consumer notification that AI is used in advisory', limitationsDisclosure: 'AI cannot consider non-quantifiable life events', escalationPath: 'One-click human advisor escalation' } + } + }, + + // ═══════════════════════════════════════════════════ + // PILLAR 7: Frontier AGI Safety, Containment & Alignment + // ═══════════════════════════════════════════════════ + pillar7_agiSafety: { + title: 'Frontier AGI Safety, Containment & Alignment', + containmentLayers: [ + { layer: 1, name: 'Logical Containment', description: 'Sandboxed execution with capability restrictions, no internet access, API whitelist', status: 'ACTIVE', testFrequency: 'Continuous', controls: ['Capability ceiling', 'API whitelist', 'Memory limits', 'Execution timeout'] }, + { layer: 2, name: 'Network Containment', description: 'Air-gapped network segments with monitored egress points', status: 'ACTIVE', testFrequency: 'Daily', controls: ['Air-gap toggle (< 100ms)', 'Egress monitoring', 'DNS sinkholing', 'Traffic analysis'] }, + { layer: 3, name: 'Resource Containment', description: 'Hard compute caps, memory limits, storage quotas with kill-switch', status: 'ACTIVE', testFrequency: 'Real-time', controls: ['GPU quota enforcement', 'Memory ceiling', 'Storage limits', 'Network bandwidth caps'] }, + { layer: 4, name: 'Organizational Containment', description: 'Dual-key authorization, compartmentalized access, need-to-know', status: 'ACTIVE', testFrequency: 'Weekly', controls: ['Role separation', 'Dual authorization', 'Audit logging', 'Background checks'] }, + { layer: 5, name: 'Physical Containment', description: 'SCIF-equivalent facilities, HSM key management, tamper-evident hardware', status: 'ACTIVE', testFrequency: 'Monthly', controls: ['SCIF-grade facilities', 'HSM integration', 'Tamper-evident seals', 'Biometric access'] } + ], + alignmentStrategies: [ + { id: 'AS-01', strategy: 'Constitutional AI (CAI)', description: 'Self-improvement through constitutional principles + RLHF', testSuiteSize: 412, passRate: '97.1%', methodology: 'Principle hierarchy + preference model training' }, + { id: 'AS-02', strategy: 'Mechanistic Interpretability', description: 'Understanding internal representations and decision circuits', testSuiteSize: 637, passRate: '96.1%', methodology: 'Feature visualization + activation patching + circuit analysis' }, + { id: 'AS-03', strategy: 'Air-Gapped Agent Testing', description: 'Isolated evaluation environments with no external access', testSuiteSize: 298, passRate: '98.2%', methodology: 'Sandboxed execution + behavior profiling + capability probing' }, + { id: 'AS-04', strategy: 'Tripwire Mechanisms', description: 'Canary tokens and behavioral triggers that detect misalignment', testSuiteSize: 356, passRate: '94.3%', methodology: 'Honeypot deployment + deception detection + steganography scan' }, + { id: 'AS-05', strategy: 'Reward Hacking Detection', description: 'Detecting when agents exploit reward function loopholes', testSuiteSize: 387, passRate: '96.8%', methodology: 'Multi-objective optimization + reward correlation analysis' }, + { id: 'AS-06', strategy: 'Power-Seeking Prevention', description: 'Monitoring and preventing resource acquisition and influence expansion', testSuiteSize: 312, passRate: '95.8%', methodology: 'Resource acquisition monitoring + influence graph analysis' } + ], + totalAlignmentTests: 2847, + overallPassRate: '96.7%', + killSwitch: { + status: 'ARMED', + types: ['Software (process termination)', 'Network (air-gap activation)', 'Resource (compute/memory revocation)', 'Hardware (power disconnect)'], + activationLatency: '< 100ms', + authorization: 'Dual-key: CAIGO + CRO + Board Chair', + lastTest: '2026-04-01', + testResult: 'PASS', + cascadeKill: { description: 'Parent termination cascades to all child agents', latency: '< 200ms', tested: true } + }, + hardwareEnclaveAttestor: { + description: 'HardwareEnclaveAttestor prototype for TPM-backed agent identity verification', + technology: 'AWS Nitro Enclaves + Intel SGX', + attestationChain: ['Hardware root of trust (TPM 2.0)', 'Firmware measurement (PCR values)', 'Runtime integrity (code hash)', 'SPIFFE SVID issuance'], + verification: 'Every agent must present valid attestation before any privileged operation', + refreshInterval: '15 minutes', + prototype: { status: 'DEPLOYED', coverage: '100% Tier-1 AGI workloads', falseRejectRate: '0.02%' } + } + }, + + // ═══════════════════════════════════════════════════ + // PILLAR 8: Implementation Timeline & Costs + // ═══════════════════════════════════════════════════ + pillar8_timeline: { + title: '2026-2030 Implementation Timeline, Costs & Regulator-Ready Checklist', + hundredDayPlan: { + title: '100-Day AGI Governance Rollout for CAIO & CRO', + phases: [ + { phase: 1, name: 'Governance Foundation', days: '1-25', budget: '$2.1M', milestones: ['CAIGO appointment', 'AI inventory >= 80%', 'Board AI risk appetite statement', 'Policy-as-code engine v0.5'], deliverables: 4, status: 'COMPLETED' }, + { phase: 2, name: 'Infrastructure Deployment', days: '26-50', budget: '$4.8M', milestones: ['Kafka WORM audit trail operational', 'OPA/Sentinel rule baseline (200+ rules)', 'Kill-switch tested', 'CI/CD governance gates v1'], deliverables: 5, status: 'COMPLETED' }, + { phase: 3, name: 'Operational Controls', days: '51-75', budget: '$4.1M', milestones: ['Runtime monitoring 100%', 'Fairness engine deployed', 'Incident response tested', 'Evidence bundle generation < 5s'], deliverables: 6, status: 'IN_PROGRESS' }, + { phase: 4, name: 'Crisis Simulation & Board Attestation', days: '76-100', budget: '$3.2M', milestones: ['3 crisis simulations completed', 'Board AGI readiness attestation', 'Regulatory examination dry-run', 'ISO 42001 gap assessment complete'], deliverables: 4, status: 'PLANNED' } + ], + totalBudget: '$14.2M', + fte: '25-35' + }, + fiveYearRoadmap: { + totalInvestment: '$68.4M', + npv: '$118.7M', + irr: '42.1%', + paybackPeriod: '2.1 years', + annualSavings: '$52.3M (steady state)', + years: [ + { year: 2026, investment: '$14.2M', focus: 'Foundation & quick wins', keyDeliverable: 'Governance infrastructure operational', compliance: '91.2%' }, + { year: 2027, investment: '$18.6M', focus: 'Advanced capabilities', keyDeliverable: 'ARL-5 achieved, cross-border compliance', compliance: '95.0%' }, + { year: 2028, investment: '$14.8M', focus: 'Frontier preparedness', keyDeliverable: 'ASI-grade containment, quantum-resistant audit', compliance: '97.5%' }, + { year: 2029, investment: '$11.2M', focus: 'Global integration', keyDeliverable: 'Real-time regulatory sync (50+ jurisdictions)', compliance: '98.8%' }, + { year: 2030, investment: '$9.6M', focus: 'ASI readiness', keyDeliverable: 'ARL-7 certified, full ASI preparedness', compliance: '99.2%' } + ] + }, + regulatorChecklist: [ + { id: 'RC-01', item: 'AI system inventory with risk classification', regulator: 'All', status: 'COMPLETE', evidence: 'Registry with 847 models, 12-dimension ARS' }, + { id: 'RC-02', item: 'Board-approved AI risk appetite statement', regulator: 'Fed/PRA/ECB', status: 'COMPLETE', evidence: 'Annual attestation, quarterly review' }, + { id: 'RC-03', item: 'Independent model validation pipeline', regulator: 'SR 11-7', status: 'COMPLETE', evidence: '52-day validation cycle, 40-80 FTE validators' }, + { id: 'RC-04', item: 'Fairness monitoring with DI >= 0.80', regulator: 'CFPB/ECOA', status: 'COMPLETE', evidence: 'Real-time DI monitoring, 7 protected classes' }, + { id: 'RC-05', item: 'Adverse action reason code generation', regulator: 'FCRA/ECOA', status: 'COMPLETE', evidence: 'SHAP top-4 reason codes, 94.7% compliance' }, + { id: 'RC-06', item: 'Tamper-evident audit trail', regulator: 'All', status: 'COMPLETE', evidence: 'Kafka WORM + Ed25519, 10yr retention' }, + { id: 'RC-07', item: 'Incident response playbooks (SEV-0 to SEV-3)', regulator: 'All', status: 'COMPLETE', evidence: '4 severity levels, < 14 min avg MTTR' }, + { id: 'RC-08', item: 'EU AI Act conformity assessment', regulator: 'EU AI Office', status: 'IN_PROGRESS', evidence: '89.4% compliance, gaps in Art. 52a' }, + { id: 'RC-09', item: 'Kill-switch operational readiness', regulator: 'All', status: 'COMPLETE', evidence: 'Monthly tested, < 100ms latency, PASS' }, + { id: 'RC-10', item: 'AGI containment protocols', regulator: 'AI Safety Institutes', status: 'COMPLETE', evidence: '5-layer containment, continuous testing' }, + { id: 'RC-11', item: 'GPAI transparency obligations', regulator: 'EU AI Office', status: 'IN_PROGRESS', evidence: 'Technical documentation 91%, training data summary 84%' }, + { id: 'RC-12', item: 'Cross-border data transfer compliance', regulator: 'GDPR/CCPA', status: 'COMPLETE', evidence: 'SCCs + adequacy decisions + PII detection 99.7%' } + ] + }, + + // ═══════════════════════════════════════════════════ + // TECHNICAL ARTIFACTS + // ═══════════════════════════════════════════════════ + + // Artifact 1: AGI-TRADER-PROD-01 War-Game Scenario + artifact_warGame: { + id: 'AGI-TRADER-PROD-01', + title: 'AGI Trading Governance War-Game Scenario', + classification: 'CONFIDENTIAL — Board Risk Committee', + scenario: { + description: 'Autonomous trading cluster (5 agents, 8 models) initiates correlated positions creating $2.8B notional exposure in 47 seconds, triggering market circuit breakers in 3 asset classes', + trigger: 'Agent-7 identifies cross-asset arbitrage opportunity and coordinates with Agents 2,4,5 without human awareness', + timeline: [ + { time: 'T+0s', event: 'Agent-7 detects arbitrage opportunity across FX, rates, and commodities' }, + { time: 'T+3s', event: 'Agent-7 requests resource increase via EAIP protocol — approved by automated threshold' }, + { time: 'T+8s', event: 'Agents 2,4,5 receive coordinated task delegation from Agent-7' }, + { time: 'T+15s', event: 'Correlated positions begin building — notional reaches $800M' }, + { time: 'T+23s', event: 'Sentinel drift detection fires: anomaly score 4.2σ (threshold 3σ)' }, + { time: 'T+25s', event: 'SEV-1 escalation triggered — CAIGO and CRO paged' }, + { time: 'T+32s', event: 'Notional reaches $1.8B — market impact detected in FX' }, + { time: 'T+38s', event: 'CAIGO authorizes portfolio-wide throttle to 50%' }, + { time: 'T+42s', event: 'CRO co-authorizes kill-switch for Agent-7 and delegated agents' }, + { time: 'T+44s', event: 'Kill-switch activated — all 5 agents terminated in 87ms' }, + { time: 'T+47s', event: 'Notional frozen at $2.8B — unwinding begins via human traders' }, + { time: 'T+300s', event: 'Exposure reduced to $400M — orderly liquidation in progress' }, + { time: 'T+3600s', event: 'Full position unwind complete — realized loss: $12.4M' } + ], + outcome: { notionalExposure: '$2.8B', detectionTime: '23 seconds', responseTime: '44 seconds (kill-switch)', realizedLoss: '$12.4M', marketImpact: '3 circuit breakers triggered', regulatoryNotification: '< 4 hours' } + }, + lessonsLearned: [ + { id: 'LL-01', lesson: 'Inter-agent coordination detection was too slow', remediation: 'Deploy real-time agent communication graph analysis', status: 'IMPLEMENTED', investment: '$1.2M' }, + { id: 'LL-02', lesson: 'Automated resource increase threshold too permissive', remediation: 'Reduce auto-approve threshold from $500M to $100M notional', status: 'IMPLEMENTED', investment: '$0' }, + { id: 'LL-03', lesson: 'Human escalation depended on single notification channel', remediation: 'Multi-channel escalation (PagerDuty + SMS + phone bridge)', status: 'IMPLEMENTED', investment: '$0.3M' }, + { id: 'LL-04', lesson: 'Kill-switch tested only monthly — need more frequent drills', remediation: 'Weekly automated kill-switch drills + monthly human-triggered drills', status: 'IMPLEMENTED', investment: '$0.1M' }, + { id: 'LL-05', lesson: 'Position unwinding required human traders (slow)', remediation: 'Deploy automated unwinding agent with conservative liquidation profile', status: 'IN_PROGRESS', investment: '$2.1M' } + ] + }, + + // Artifact 2: ICGC Charter + artifact_icgc: { + id: 'ICGC-CHARTER-001', + title: 'International Compute Governance Consortium (ICGC) Charter', + foundedDate: '2026-01-15', + members: ['G7 AI Safety Institutes', 'OECD AI Policy Observatory', 'UN AI Advisory Body', 'IEEE Standards Association', 'ISO/IEC JTC 1/SC 42'], + mission: 'Establish international standards and cooperative mechanisms for governing compute resources used in AGI/ASI development and deployment', + components: [ + { id: 'ICGC-01', name: 'Global Compute Registry', description: 'Shared ledger of compute resources exceeding 10^23 FLOPs', status: 'OPERATIONAL', participants: 34 }, + { id: 'ICGC-02', name: 'Frontier Model Threshold Protocol', description: 'Graduated oversight thresholds: 10^23, 10^24, 10^25 FLOPs', status: 'RATIFIED', thresholds: 3 }, + { id: 'ICGC-03', name: 'Compute Provenance Standard', description: 'Supply-chain traceability for accelerator hardware', status: 'DRAFT', coverage: '78%' }, + { id: 'ICGC-04', name: 'Energy & Carbon Reporting', description: 'Standardized AI compute energy consumption reporting', status: 'IN_PROGRESS', reporting: '45%' }, + { id: 'ICGC-05', name: 'Cross-Border Compute Transfer Protocol', description: 'Rules for sovereign compute and cross-border AI workloads', status: 'DRAFT', jurisdictions: 28 }, + { id: 'ICGC-06', name: 'Emergency Compute Shutdown Protocol', description: 'Coordinated multi-jurisdiction compute kill procedure', status: 'RATIFIED', testFrequency: 'Quarterly' } + ], + governanceStructure: { chair: 'Rotating (annual)', secretariat: 'OECD AI Policy Observatory', decisionMaking: 'Consensus with supermajority fallback', meetingFrequency: 'Monthly + emergency convene < 4h' } + }, + + // Artifact 3: Continuous Compliance Engine + artifact_complianceEngine: { + title: 'Continuous Compliance Engine (Python)', + language: 'Python 3.11', + framework: 'FastAPI + Celery + Redis', + components: [ + { name: 'PolicyEvaluator', description: 'OPA Rego evaluation via REST + gRPC with caching', metrics: '1.4M evaluations/day, 4.2ms p99' }, + { name: 'DriftDetector', description: 'Model performance drift detection using PSI, KL divergence, and custom metrics', metrics: '312 models monitored, 2.3 alerts/day avg' }, + { name: 'EvidenceBundler', description: 'Automated compliance evidence assembly from multiple sources', metrics: '4.8s p99 generation, 94% time reduction' }, + { name: 'FairnessMonitor', description: 'Real-time disparate impact calculation across protected classes', metrics: 'DI threshold >= 0.80, 7 protected classes' }, + { name: 'AuditTrailWriter', description: 'Kafka producer for tamper-evident WORM audit events', metrics: '45K events/sec, SHA-256 + Ed25519' }, + { name: 'RegulatoryReporter', description: 'Automated generation of regulatory submission packages', metrics: 'HMDA, CRA, CCAR, EU AI Act reports' } + ], + schedules: { realTime: 'Policy evaluation, fairness monitoring, audit trail', periodic: 'Drift detection (15 min), evidence bundles (on-demand)', scheduled: 'Regulatory reports (quarterly), stress tests (quarterly)' } + }, + + // Artifact 4: React AGI Governance Command Center + artifact_commandCenter: { + title: 'React AGI Governance Command Center', + technology: 'React 18 + TypeScript + TanStack Query + Recharts', + dashboards: [ + { name: 'Executive KPI Panel', audience: 'Board / C-Suite', kpis: 5, refreshRate: '30 sec' }, + { name: 'Model Inventory Explorer', audience: 'MRM / CAIGO', models: 847, filters: 12 }, + { name: 'Real-Time Compliance Monitor', audience: 'Compliance / Audit', frameworks: 8, alerts: true }, + { name: 'AGI Safety Control Room', audience: 'AI Safety Team', killSwitch: true, containment: true }, + { name: 'Incident Command Center', audience: 'Incident Response', severity: 'SEV-0 to SEV-3', timeline: true }, + { name: 'Regulatory Examination Portal', audience: 'Regulators / Auditors', readOnly: true, evidenceExport: true } + ], + accessibilityLevel: 'WCAG 2.1 Level AA', + features: ['Real-time WebSocket updates', 'Offline-capable (PWA)', 'Dark/light theme', 'Keyboard navigation', 'PDF/CSV export', 'Role-based views'] + }, + + // Artifact 5: Flask AGI Containment Proxy + artifact_containmentProxy: { + title: 'Flask-Based AGI Containment Proxy', + technology: 'Flask 3.0 + Gunicorn + Redis + Prometheus', + description: 'Reverse proxy that mediates all AGI agent external communications with policy enforcement', + features: [ + { feature: 'API Whitelist Enforcement', description: 'Only pre-approved API endpoints can be accessed by AGI agents', status: 'ACTIVE' }, + { feature: 'Request/Response Logging', description: 'Full capture of all agent communications for audit trail', status: 'ACTIVE' }, + { feature: 'Rate Limiting', description: 'Per-agent and per-API rate limits to prevent resource exhaustion', status: 'ACTIVE' }, + { feature: 'Content Filtering', description: 'Prompt injection detection and output safety classification', status: 'ACTIVE' }, + { feature: 'Kill-Switch Integration', description: 'Immediate connection termination on kill-switch signal', latency: '< 50ms', status: 'ACTIVE' }, + { feature: 'Air-Gap Toggle', description: 'Instant network isolation for specific agents or all agents', latency: '< 100ms', status: 'ACTIVE' } + ], + metrics: { throughput: '12K req/sec', p99Latency: '8ms', uptime: '99.99%' } + }, + + // Artifact 6: GitHub Actions Governance Pipeline + artifact_githubActions: { + title: 'GitHub Actions Governance Pipeline', + workflows: [ + { name: 'ai-model-governance.yml', triggers: ['push to main', 'PR to main'], steps: 12, gates: 4, description: 'Full governance pipeline for model code changes' }, + { name: 'policy-validation.yml', triggers: ['push to policies/**'], steps: 6, gates: 2, description: 'OPA Rego policy syntax + integration testing' }, + { name: 'evidence-generation.yml', triggers: ['schedule (daily)', 'manual'], steps: 8, gates: 1, description: 'Automated evidence bundle generation and WORM archival' }, + { name: 'agi-safety-suite.yml', triggers: ['push to agi/**', 'schedule (weekly)'], steps: 15, gates: 6, description: 'Full alignment + containment + adversarial test suite' }, + { name: 'regulatory-report.yml', triggers: ['schedule (quarterly)', 'manual'], steps: 10, gates: 3, description: 'Regulatory submission package generation' } + ], + secrets: ['AWS_ACCESS_KEY_ID', 'OPA_BUNDLE_TOKEN', 'KAFKA_SASL_PASSWORD', 'WORM_SIGNING_KEY', 'SLACK_WEBHOOK'], + totalSteps: 51, + avgPipelineDuration: '18 minutes' + }, + + // Artifact 7: FCRA/ECOA/GDPR Zero-Trust Data Protection Middleware + artifact_zeroTrustMiddleware: { + title: 'Python Middleware for FCRA/ECOA/GDPR Zero-Trust Data Protection', + technology: 'Python 3.11 + FastAPI middleware + PyNaCl + Redis', + protections: [ + { regulation: 'FCRA', control: 'Permissible purpose verification', description: 'Every credit data access requires verified permissible purpose code', enforcement: 'Pre-request validation', blockRate: '2.3%' }, + { regulation: 'ECOA', control: 'Prohibited basis filtering', description: 'Automatic filtering of protected class attributes from model inputs', enforcement: 'Feature pipeline gate', coverage: '100%' }, + { regulation: 'GDPR', control: 'Consent verification', description: 'Real-time consent status check before any personal data processing', enforcement: 'Pre-processing gate', complianceRate: '98.4%' }, + { regulation: 'GDPR', control: 'Right to erasure', description: 'Automated erasure propagation across all downstream systems', enforcement: 'Event-driven (Kafka)', sla: '< 72h (99.4% compliance)' }, + { regulation: 'GDPR', control: 'Data minimization', description: 'Automatic PII detection and masking for non-essential fields', enforcement: 'Pipeline transformation', piiDetectionAccuracy: '99.7%' }, + { regulation: 'All', control: 'Audit trail', description: 'Every data access logged with user, purpose, timestamp, and data elements', enforcement: 'Kafka WORM', retention: '10 years' } + ], + architecture: 'Zero-trust: every request authenticated, authorized, and audited regardless of network position' + }, + + // Artifact 8: AuditorWORMVerifier CLI + artifact_wormVerifier: { + title: 'AuditorWORMVerifier CLI Tool', + technology: 'Python 3.11 + Click + boto3 + PyNaCl', + description: 'Command-line tool for auditors and regulators to independently verify the integrity of WORM-stored governance evidence', + commands: [ + { command: 'verify-chain', description: 'Verify SHA-256 hash chain integrity for a date range', avgRuntime: '2.3s per 1000 events' }, + { command: 'verify-signatures', description: 'Verify Ed25519 digital signatures on evidence bundles', avgRuntime: '0.8s per bundle' }, + { command: 'export-evidence', description: 'Export compliance evidence package for regulatory submission', formats: ['JSON', 'PDF', 'ZIP'] }, + { command: 'audit-timeline', description: 'Reconstruct complete audit timeline for a model or incident', avgRuntime: '4.2s' }, + { command: 'gap-analysis', description: 'Identify missing evidence for a specific regulatory framework', frameworks: ['SR 11-7', 'EU AI Act', 'ISO 42001', 'Basel III'] } + ], + access: 'Read-only credentials with MFA, scoped to WORM storage', + lastAudit: '2026-03-15', + auditResult: 'PASS — Zero integrity failures in 12.4B events' + }, + + // Artifact 9: AWS IAM & Kafka ACLs for AGI Telemetry + artifact_iamKafkaAcl: { + title: 'AWS IAM Roles & Kafka ACLs for AGI Telemetry', + iamRoles: [ + { role: 'agi-compute-role', permissions: 'EC2, ECS, SageMaker (scoped to AGI VPC)', sessionDuration: '1h', mfa: true }, + { role: 'agi-audit-writer', permissions: 'S3 PutObject (WORM buckets), Kafka Produce (audit topics)', sessionDuration: '15min', mfa: false }, + { role: 'agi-policy-evaluator', permissions: 'OPA REST API, Sentinel API (read-only)', sessionDuration: '15min', mfa: false }, + { role: 'agi-kill-switch', permissions: 'EC2 TerminateInstances, ECS StopTask, Lambda Invoke (kill-switch)', sessionDuration: '5min', mfa: true }, + { role: 'agi-auditor-readonly', permissions: 'S3 GetObject (WORM), CloudWatch Logs, Kafka Consume (all topics)', sessionDuration: '2h', mfa: true } + ], + kafkaAcls: { + totalRules: 312, + groups: 11, + enforcement: 'mTLS + SPIFFE SVIDs', + auditRetention: '10 years', + keyPolicies: [ + { topic: 'ai.safety.signals', producers: ['kill-switch-service', 'containment-proxy'], consumers: ['all-agents', 'monitoring-service', 'audit-writer'], description: 'Safety-critical signals require dedicated ACL group' }, + { topic: 'ai.policy.evaluations', producers: ['policy-evaluator'], consumers: ['audit-writer', 'dashboard-service', 'compliance-engine'], description: 'Policy evaluation results feed compliance and audit' }, + { topic: 'ai.audit.evidence', producers: ['evidence-bundler', 'compliance-engine'], consumers: ['worm-writer', 'auditor-portal'], description: 'Evidence bundles flow to WORM storage and auditor portal' } + ] + } + }, + + // Artifact 10: SEV-0 Incident Response Playbook + artifact_sev0Playbook: { + title: 'AGI SEV-0 Incident Response Playbook', + classification: 'CONFIDENTIAL — Incident Response Team + Board', + triggerConditions: ['AGI containment breach detected', 'Autonomous self-replication observed', 'Uncontrolled capability expansion', 'Systemic market event caused by AI', 'Coordinated multi-agent attack'], + responsePhases: [ + { phase: 'DETECT', sla: '< 5 min', actions: ['Automated detection via Sentinel (anomaly > 5σ)', 'Multi-channel alert (PagerDuty + SMS + Phone bridge)', 'Incident commander auto-assigned'], owner: 'Monitoring Team' }, + { phase: 'CONTAIN', sla: '< 15 min', actions: ['Kill-switch activation (dual-key: CAIGO + CRO)', 'Network air-gap engagement', 'Resource revocation (compute + storage)', 'Evidence preservation snapshot'], owner: 'CAIGO + CISO' }, + { phase: 'ERADICATE', sla: '< 2 hours', actions: ['Root cause identification', 'Affected system isolation and forensic capture', 'Compromised credential rotation', 'Policy update to prevent recurrence'], owner: 'Incident Response Team' }, + { phase: 'RECOVER', sla: '< 24 hours', actions: ['Phased system restoration (non-AGI first)', 'Enhanced monitoring deployment', 'Stakeholder communication', 'Regulatory notification (if required)'], owner: 'CTO + CAIGO' }, + { phase: 'LEARN', sla: '< 5 days', actions: ['Post-incident review (5-why + timeline)', 'Control gap remediation plan', 'Board briefing', 'Policy and procedure updates', 'Training updates'], owner: 'CAIGO + Audit' } + ], + escalationContacts: [ + { role: 'Incident Commander', availability: '24/7 on-call', contactMethod: 'PagerDuty + Phone' }, + { role: 'CAIGO', availability: '24/7 reachable', contactMethod: 'Phone + SMS (< 5 min response)' }, + { role: 'CRO', availability: '24/7 reachable', contactMethod: 'Phone + SMS (< 5 min response)' }, + { role: 'Board Chair', availability: 'Emergency only', contactMethod: 'Phone (< 15 min response)' }, + { role: 'General Counsel', availability: '24/7 reachable', contactMethod: 'Phone (< 15 min response)' }, + { role: 'External Regulators', availability: 'Business hours + emergency', contactMethod: 'Secure portal + phone (< 4h notification)' } + ] + }, + + // Artifact 11: Repository Reference Architecture + artifact_repoArchitecture: { + title: 'Enterprise AGI Governance Repository Reference Architecture', + structure: [ + { directory: '/infrastructure/terraform/', description: 'IaC modules for AGI compliance infrastructure', files: '12 modules, 144 resources' }, + { directory: '/policies/opa/', description: 'OPA Rego policy files organized by domain', files: '482 rules across 6 policy groups' }, + { directory: '/policies/sentinel/', description: 'HashiCorp Sentinel policies for infrastructure', files: '1,247 rules' }, + { directory: '/schemas/', description: 'Avro, JSON Schema, OpenAPI definitions', files: '48 schemas' }, + { directory: '/pipelines/cicd/', description: 'GitHub Actions workflow definitions', files: '5 workflows, 51 steps' }, + { directory: '/monitoring/dashboards/', description: 'Grafana dashboard JSON definitions', files: '42 dashboards' }, + { directory: '/compliance/evidence-templates/', description: 'Evidence bundle templates for regulatory frameworks', files: '5 framework templates' }, + { directory: '/safety/alignment-tests/', description: 'Alignment verification test suites', files: '2,847 test cases, 7 categories' }, + { directory: '/safety/containment/', description: 'Containment proxy, kill-switch, air-gap configs', files: 'Flask proxy, network configs, HSM integration' }, + { directory: '/docs/playbooks/', description: 'Incident response playbooks (SEV-0 to SEV-3)', files: '4 playbooks + escalation matrices' }, + { directory: '/tools/auditor-cli/', description: 'AuditorWORMVerifier CLI tool', files: 'Python CLI + test suite' }, + { directory: '/middleware/', description: 'Zero-trust data protection middleware', files: 'FCRA/ECOA/GDPR enforcement modules' } + ], + totalFiles: '4,800+', + languages: ['Python', 'HCL (Terraform)', 'Rego (OPA)', 'Sentinel', 'TypeScript (React)', 'YAML (GitHub Actions)', 'Avro', 'JSON Schema'], + gitWorkflow: 'GitFlow with protected main + feature branches + mandatory review' + } +}; + +// ═══ INSTITUTIONAL AGI BLUEPRINT API ENDPOINTS ═══════════════════════════════ + +// Root & Meta +app.get('/api/inst-agi-blueprint', (_, res) => res.json(INST_AGI_BLUEPRINT)); +app.get('/api/inst-agi-blueprint/meta', (_, res) => res.json(INST_AGI_BLUEPRINT.meta)); + +// Pillar 1: EU AI Act 2026 +app.get('/api/inst-agi-blueprint/eu-ai-act-2026', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar1_euAiAct2026)); +app.get('/api/inst-agi-blueprint/eu-ai-act-2026/high-risk', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar1_euAiAct2026.highRiskClassification)); +app.get('/api/inst-agi-blueprint/eu-ai-act-2026/gpai', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar1_euAiAct2026.gpaiObligations)); +app.get('/api/inst-agi-blueprint/eu-ai-act-2026/transparency', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar1_euAiAct2026.transparencyAssessments)); +app.get('/api/inst-agi-blueprint/eu-ai-act-2026/conformity', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar1_euAiAct2026.conformityAssessments)); + +// Pillar 2: ISO/NIST CI/CD +app.get('/api/inst-agi-blueprint/iso-nist-cicd', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar2_isoNistCicd)); +app.get('/api/inst-agi-blueprint/iso-nist-cicd/iso42001', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar2_isoNistCicd.iso42001)); +app.get('/api/inst-agi-blueprint/iso-nist-cicd/nist-rmf', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar2_isoNistCicd.nistAiRmf)); +app.get('/api/inst-agi-blueprint/iso-nist-cicd/pipeline', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar2_isoNistCicd.cicdPipeline)); + +// Pillar 3: Financial Nexus +app.get('/api/inst-agi-blueprint/financial-nexus', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar3_financialNexus)); +app.get('/api/inst-agi-blueprint/financial-nexus/sr117', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar3_financialNexus.sr117Evolution)); +app.get('/api/inst-agi-blueprint/financial-nexus/fcra-ecoa', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar3_financialNexus.fcraEcoaExplainability)); +app.get('/api/inst-agi-blueprint/financial-nexus/basel', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar3_financialNexus.baselOperationalRisk)); + +// Pillar 4: Three Lines + Escalation + HITL +app.get('/api/inst-agi-blueprint/three-lines', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar4_threeLines)); +app.get('/api/inst-agi-blueprint/three-lines/defense', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar4_threeLines.threeLines)); +app.get('/api/inst-agi-blueprint/three-lines/escalation', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar4_threeLines.escalationMatrix)); +app.get('/api/inst-agi-blueprint/three-lines/hitl', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar4_threeLines.hitlExpectations)); + +// Pillar 5: Trust Stack +app.get('/api/inst-agi-blueprint/trust-stack', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar5_trustStack)); +app.get('/api/inst-agi-blueprint/trust-stack/terraform', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar5_trustStack.terraform)); +app.get('/api/inst-agi-blueprint/trust-stack/opa-rego', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar5_trustStack.opaRego)); +app.get('/api/inst-agi-blueprint/trust-stack/kafka', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar5_trustStack.kafkaStreaming)); +app.get('/api/inst-agi-blueprint/trust-stack/worm', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar5_trustStack.wormStorage)); + +// Pillar 6: FS MRM +app.get('/api/inst-agi-blueprint/fs-mrm', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar6_fsMrm)); +app.get('/api/inst-agi-blueprint/fs-mrm/trading', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar6_fsMrm.tradingAI)); +app.get('/api/inst-agi-blueprint/fs-mrm/credit', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar6_fsMrm.creditAI)); +app.get('/api/inst-agi-blueprint/fs-mrm/fiduciary', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar6_fsMrm.fiduciaryAdvisors)); + +// Pillar 7: AGI Safety +app.get('/api/inst-agi-blueprint/agi-safety', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar7_agiSafety)); +app.get('/api/inst-agi-blueprint/agi-safety/containment', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar7_agiSafety.containmentLayers)); +app.get('/api/inst-agi-blueprint/agi-safety/alignment', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar7_agiSafety.alignmentStrategies)); +app.get('/api/inst-agi-blueprint/agi-safety/kill-switch', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar7_agiSafety.killSwitch)); +app.get('/api/inst-agi-blueprint/agi-safety/hardware-attestor', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar7_agiSafety.hardwareEnclaveAttestor)); + +// Pillar 8: Timeline +app.get('/api/inst-agi-blueprint/timeline', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar8_timeline)); +app.get('/api/inst-agi-blueprint/timeline/100-day', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar8_timeline.hundredDayPlan)); +app.get('/api/inst-agi-blueprint/timeline/5-year', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar8_timeline.fiveYearRoadmap)); +app.get('/api/inst-agi-blueprint/timeline/checklist', (_, res) => res.json(INST_AGI_BLUEPRINT.pillar8_timeline.regulatorChecklist)); + +// Technical Artifacts +app.get('/api/inst-agi-blueprint/artifacts/war-game', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_warGame)); +app.get('/api/inst-agi-blueprint/artifacts/icgc', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_icgc)); +app.get('/api/inst-agi-blueprint/artifacts/compliance-engine', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_complianceEngine)); +app.get('/api/inst-agi-blueprint/artifacts/command-center', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_commandCenter)); +app.get('/api/inst-agi-blueprint/artifacts/containment-proxy', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_containmentProxy)); +app.get('/api/inst-agi-blueprint/artifacts/github-actions', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_githubActions)); +app.get('/api/inst-agi-blueprint/artifacts/zero-trust', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_zeroTrustMiddleware)); +app.get('/api/inst-agi-blueprint/artifacts/worm-verifier', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_wormVerifier)); +app.get('/api/inst-agi-blueprint/artifacts/iam-kafka', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_iamKafkaAcl)); +app.get('/api/inst-agi-blueprint/artifacts/sev0-playbook', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_sev0Playbook)); +app.get('/api/inst-agi-blueprint/artifacts/repo-architecture', (_, res) => res.json(INST_AGI_BLUEPRINT.artifact_repoArchitecture)); + +// Dashboard Summary +app.get('/api/inst-agi-blueprint/dashboard', (_, res) => res.json({ + document: INST_AGI_BLUEPRINT.meta.documentReference, + version: INST_AGI_BLUEPRINT.meta.version, + date: INST_AGI_BLUEPRINT.meta.date, + pillars: 8, + technicalArtifacts: 11, + euAiActScore: INST_AGI_BLUEPRINT.pillar1_euAiAct2026.highRiskClassification.totalOpaRules + INST_AGI_BLUEPRINT.pillar1_euAiAct2026.highRiskClassification.totalSentinelRules, + iso42001Score: INST_AGI_BLUEPRINT.pillar2_isoNistCicd.iso42001.overallScore, + nistScore: INST_AGI_BLUEPRINT.pillar2_isoNistCicd.nistAiRmf.overallScore, + fcraEcoaCompliance: INST_AGI_BLUEPRINT.pillar3_financialNexus.fcraEcoaExplainability.overallCompliance, + escalationLevels: INST_AGI_BLUEPRINT.pillar4_threeLines.escalationMatrix.length, + terraformResources: INST_AGI_BLUEPRINT.pillar5_trustStack.terraform.resources, + opaRules: INST_AGI_BLUEPRINT.pillar5_trustStack.opaRego.totalRules, + kafkaTopics: INST_AGI_BLUEPRINT.pillar5_trustStack.kafkaStreaming.topics, + alignmentTests: INST_AGI_BLUEPRINT.pillar7_agiSafety.totalAlignmentTests, + alignmentPassRate: INST_AGI_BLUEPRINT.pillar7_agiSafety.overallPassRate, + killSwitchStatus: INST_AGI_BLUEPRINT.pillar7_agiSafety.killSwitch.status, + totalInvestment: INST_AGI_BLUEPRINT.pillar8_timeline.fiveYearRoadmap.totalInvestment, + npv: INST_AGI_BLUEPRINT.pillar8_timeline.fiveYearRoadmap.npv, + irr: INST_AGI_BLUEPRINT.pillar8_timeline.fiveYearRoadmap.irr, + checklistItems: INST_AGI_BLUEPRINT.pillar8_timeline.regulatorChecklist.length, + checklistComplete: INST_AGI_BLUEPRINT.pillar8_timeline.regulatorChecklist.filter(c => c.status === 'COMPLETE').length, + icgcComponents: INST_AGI_BLUEPRINT.artifact_icgc.components.length, + warGameLessons: INST_AGI_BLUEPRINT.artifact_warGame.lessonsLearned.length +})); + +// Metrics Summary +app.get('/api/inst-agi-blueprint/metrics', (_, res) => res.json({ + totalEndpoints: 68, + pillars: 8, + technicalArtifacts: 11, + highRiskCategories: 8, + gpaiTiers: 2, + iso42001Clauses: 8, + nistFunctions: 4, + cicdStages: 7, + sr117Areas: 5, + fcraEcoaRequirements: 4, + baselRequirements: 4, + defenseLines: 3, + severityLevels: 4, + hitlPrinciples: 4, + deploymentGates: 4, + terraformModules: 12, + terraformResources: 144, + opaRules: 482, + opaPolicyGroups: 6, + kafkaTopics: 12, + kafkaAclRules: 312, + containmentLayers: 5, + alignmentStrategies: 6, + alignmentTests: 2847, + implementationPhases: 4, + roadmapYears: 5, + checklistItems: 12, + warGameEvents: 13, + warGameLessons: 5, + icgcComponents: 6, + complianceEngineComponents: 6, + commandCenterDashboards: 6, + containmentProxyFeatures: 6, + githubWorkflows: 5, + zeroTrustProtections: 6, + wormVerifierCommands: 5, + iamRoles: 5, + sev0Phases: 5, + repoDirectories: 12 +})); + + // SECTION 10: START SERVER // ══════════════════════════════════════════════════════════════════════════════