The first 30 days of agentic AI governance: A practical checklist

This post introduces a practical 30-day checklist for establishing agentic AI governance. It breaks down governance into phases focusing on agent identification and authority, runtime permission enforcement, deterministic controls for high-impact actions, full execution path reconstruction, safe failure mode testing, and owner-based intervention capabilities. It emphasizes the need for clear boundaries, attributable access, policy checks outside the model, comprehensive logging, and rehearsed intervention processes to manage the risks associated with autonomous AI agents.