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AI Governance Beyond the Checklist

This episode explores AI governance — not as policy documents or review boards, but as real-time authority control in autonomous systems. With Anna Jacobi, we discuss what changes when AI systems move from advisory to operational. As agents gain the ability to act, governance shifts from model evaluation to authority management. Topics covered: Why governance is no longer just about policies The difference between model failure and authority failure Identity egress and why it matters Short-lived credentials and workload identity Sandbox environments for safe experimentation Why revocation speed (sub-100ms) will matter What an AI “authority control plane” could look like in the next 2–3 years As systems become more autonomous, you may not always know exactly what will happen — but you must always know what is allowed to happen, and how fast you can stop it. If you're building with AI agents, copilots, or long-running systems, this conversation is especially relevant. Subscribe for more thoughtful conversations on AI systems, infrastructure, and the future of intelligent software. #podcast #artificialintelligence #aiagents #aigovernance