Practitioner research on securing autonomous AI agent systems. Threat models, defensive controls, red-team frameworks, and detection patterns — built from hands-on experience, not theory.
A 6-stage attack lifecycle mental model for autonomous AI agent systems. RECON → INJECT → HIJACK → ESCALATE → EXFILTRATE → PERSIST. Extends MITRE ATLAS and OWASP LLM Top 10 into agent-specific vectors.
Read the full analysis →Organized by the security lifecycle. Each module maps to how practitioners actually work — from threat understanding to building secure systems.
New research on agentic AI security — threat models, defensive patterns, red-team frameworks. Practitioner content, no spam.