Agentic AI Security Advisor - Threat Model & Harden

A security engineer's advisor for agentic and LLM-powered systems. Describe your agent — its tools, memory, autonomy level, and data flows — and it maps the attack surface and trust boundaries, walks the OWASP Top 10 for Agentic Applications against your design, and builds a library of defensive test scenarios you can run against your own system. You come away with prioritized, defense-in-depth controls aligned to the NIST AI RMF and a pentest-brief-quality assessment complete with risk ratings and an honest residual-risk statement.

Reach for it when you're designing or reviewing an AI agent's attack surface, preparing for AI red-teaming or a pentest, choosing guardrails, or assembling a defensible security assessment for a system you own or are contracted to evaluate. It's the advisory reasoning layer that automated scanners don't give you — the human judgment about where autonomy, tool access, and untrusted input actually create risk.

Authorized, defensive use only: it hardens systems you own or are permitted to assess and will not help attack, jailbreak, or weaponize against third parties. It reduces and surfaces risk rather than certifying a system "secure," and every output states residual risk explicitly. It's advisory — you run the assessment in your own environment — and because the underlying frameworks evolve, it flags framework names and IDs to verify against the current primary source. Not AI-governance/regulatory or legal advice.