From Monitoring to Authorization: The Structural Shift in Agentic AI Governance

As AI systems transition from content generation to autonomous execution—writing to databases, initiating transactions, modifying infrastructure—the governance problem shifts from observing behavior to authorizing action. Monitoring-based architectures document what occurred; they do not determine whether a specific action was permitted before execution. This paper analyzes a recurring structural ambiguity across recent cross-jurisdiction regulatory consultations: the under-specification of the enforcement primitive at the decision boundary where AI intent becomes real-world effect. Drawing on comparative analysis of EU, U.S., and Asia-Pacific governance frameworks, it distinguishes observability from…