This paper introduces the concept of the Execution Boundary as a structural layer in AI governance architectures. While most governance approaches focus on policy, monitoring, or post-hoc auditing, this work examines the architectural point where system trajectories become admissible state transitions and real-world actions. The paper argues that governance in agentic and autonomous systems ultimately requires structural mechanisms that resolve authority and admissibility before execution occurs.
Ricardo Rubio Albacete (Sun,) studied this question.
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