Watch · narrated walkthroughs
Static signatures and fixed permissions were built for deterministic software; autonomous agents defeat both. This series builds behavior-based defense for AI agents from the ground up: why signature and permission controls fail on non-deterministic agents, how to construct a behavioral baseline from action distributions and tool-call profiles, anomaly detection on agent traces with the cold-start problem, enforcement by observed behavior rather than static permission, and the mimicry-evasion limits every behavioral detector must confront. Grounded in NIST AI RMF, NIST SP 800-207 Zero Trust, OWASP LLM Top 10, the OWASP Agentic Security Initiative, MITRE ATLAS, and the anomaly-detection and intrusion-detection literature.