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Open detection-rule standard for AI agent security threats — like Sigma, but for AI agents. Executable rules across 10 categories; merged into Microsoft AGT, Cisco AI Defense, MISP, OWASP, FINOS & SigmaHQ. MIT-licensed.
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
Runtime control, security, and governance for AI agents — decide what an agent may do at the moment it acts, revoke that authority instantly, and keep tamper-evident evidence of every decision.
Red teaming AI Goat™ to explore OWASP Top 10 for LLM Applications (2025), prompt injection, RAG poisoning, MCP-assisted auditing, and AI security vulnerabilities.
LLM security scanner for jailbreaks, prompt injection, and system prompt leakage — Garak probes plus a hand-built attack layer, severity classification with deduplication, and a CI gate that fails builds on critical findings.
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.
Intentionally vulnerable RAG service (FastAPI, OpenAI): indirect prompt injection via poisoned documents leaks a system-prompt secret. Automated and scored with PyRIT and Garak.