Security engineering research and tooling — focused on AI security, threat detection, GRC, and post-quantum cryptography.
AI Security — detection of prompt injection, jailbreaks, and adversarial inputs against large language models
Threat Detection — network analysis, threat intelligence pipelines, and SOC tooling built for practical use
GRC & Compliance — vendor risk frameworks, NIS2 compliance tooling, and policy assessment aligned to EU and NCSC standards
Post-Quantum Cryptography — sovereign communication protocols resistant to quantum attack
| Repository | Description |
|---|---|
| ai-firewall | LLM jailbreak and prompt injection detection system |
| llm-honeypot | Fake AI assistant that silently logs and analyses attack attempts |
| llm-redteam | Offensive AI security testing toolkit |
| nis2-vendor-risk-framework | NIS2-aligned third-party risk assessment framework with scoring rubric and worked example |
| mfa-coverage-tracker | M365 MFA audit tool — identifies weak or missing MFA and generates HTML risk reports |
| password-policy-checker | Password policy evaluator against NIST SP 800-63B and NCSC guidance |
| intel-pipeline | Automated threat intelligence collection and processing pipeline |
| pcap-analyser | Network packet capture analysis and anomaly detection |
| incident-tracker | SOC incident ticketing and case management system |
| unified-dashboard | Single pane of glass across the security toolkit |
| intel-dashboard | Threat intelligence report viewer and aggregator |
| security-toolkit | Growing collection of security scripts and utilities |
Self-directed security engineer transitioning from IT infrastructure into offensive and defensive security, SOC operations, and GRC. CompTIA Security+ and Network+ certified.
Working toward a role in security engineering, threat detection, NIS2/compliance, or AI security research.