Traditional AI governance was built for prediction. Agentic AI changes the rules. Explore the Agent Governance Gap and Continuous Agent Governance.

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Traditional AI governance frameworks were designed for predictive models, not autonomous agents. As organisations deploy systems capable of planning, reasoning, and acting independently, existing governance approaches are becoming inadequate. This article introduces the Agent Governance Gap and proposes the Continuous Agent Governance Model, a practical framework for governing AI systems that act rather than merely predict.