Execution-Bound Enforcement for AI Agent Governance

This project presents an architectural framework for execution-bound governance of AI agents. The paper introduces execution-bound enforcement as a structural component of AI governance, ensuring that authority and admissibility are validated deterministically at execution time. The framework complements identity-centric authorization approaches by providing execution-time enforcement and admissibility evidence mechanisms. This work was prepared as a public comment submission for the NIST NCCoE Software and AI Agent Identity and Authorization Concept Paper (2026).