AI governance must authorize actions before execution, not just audit after

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Current AI governance tools mainly audit what a model produced after the fact. This is insufficient when AI agents perform consequential actions like moving money or changing records. Effective control requires authorizing each specific action before the external system state changes. The decision must validate current authority, policy, evidence, and dependencies immediately before execution. Governance systems must reliably produce clear PERMIT, BLOCK, or ESCALATE decisions based on fresh, verified facts.

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