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

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This post defines a 30-day practical checklist for implementing agentic AI governance. It breaks down the process into five key phases: identifying agents and their authority, enforcing runtime permissions, governing high-impact actions outside the model, enabling reconstruction of consequential actions, and ensuring safe failure modes. It emphasizes the need for deterministic controls, least-privilege access, comprehensive logging, and defined incident response procedures, establishing a foundational framework for managing the risks associated with autonomous AI agents.