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Runtime authorization requires centralized policy management, consistent decision logic, and auditable evidence to scale effectively. The approach treats authorization as a continuously governed security control that evaluates every access attempt against current context without adding latency or network dependencies. Key principles include maintaining a single source of truth for authorization policies, ensuring consistent evaluation across all system components, generating decision-level audit trails, and supporting both human users and automated actors like AI agents and service accounts. The architecture should integrate with existing identity and governance systems rather than replacing them, with authorization handling contextual access decisions while identity systems establish who users are.

Authorization as a continuously governed control

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