Open detection standard -- like Sigma, but for AI agents. 425 rules, shipped in Microsoft AGT, Cisco AI Defense, MISP, OWASP A-S-R-H. 97.1% recall on NVIDIA garak. NIST OSCAL Path 1.

Vulntrex - View, Run & Compare Garak Scans in one sleek web interface.

Projet issu du codelab Devfest Nantes 2025 “La guerre des prompts” : atelier de 2h pour apprendre à pirater des IA et comment les protéger via des frameworks open source

Python + SQL toolkit for LLM threat intelligence — flags prompt injection, jailbreaks, and data exfiltration mapped to OWASP LLM Top 10 (2025) & MITRE ATLAS.

Red teaming AI Goat™ to explore OWASP Top 10 for LLM Applications (2025), prompt injection, RAG poisoning, MCP-assisted auditing, and AI security vulnerabilities.

KYA (Know Your Agents) — Open-source trust, governance, and evidentiary assurance infrastructure for autonomous systems. Built on KYP (Know Your Principal), a unified trust model for human users, AI agents, service accounts, and machine identities.

Out-Of-Tree Llama Stack Eval Provider for Red Teaming LLM Systems with Garak

Production-grade LLM evaluation pipeline for RAG chatbot — DeepEval + RAGAS + Garak + CI/CD | Financial domain | 7 metrics | Adversarial testing

Automated prompt injection vulnerability assessment of local LLMs using Garak

Iterative AI purple-team harness: 5 specialist agents under a deterministic state machine, ATT&CK + ATLAS aware. Includes reproducible findings against GPT-4o (EchoLeak-style injection, MCP tool-description poisoning) and an upstream PR for garak detector calibration drift.

An OWASP-LLM-Top-10-2025 red-team teaching lab

Automated LLM Security Evaluation Framework

Just playing around with Garak AI for security testing of LLMs

Single-file, fully-local three-layer AI red-team smoke test for LLMs + MCP servers — honest, CI-ready, not a compliance tool.

Web-based GUI for Garak LLM security scanner. Test local Ollama models with an intuitive interface.

IA ofensiva sin censura, contenida y segura para su operador — red teaming ético asistido por IA sobre Kali.

Security audit of LLM-based multi-agent systems with indirect prompt-injection PoCs and mitigations.

This repo consist of exploratory work related to AI pen testing using open source versions of garak, promptfoo

Automated Prompt Injection Testing across 5 LLMs using Nvidia Garak

Hands-on LLM security assessment: prompt injection and system-prompt leakage (garak + custom eval), mapped to OWASP LLM Top 10 and NIST AI RMF