Sanctioned Use Policy
Defined rules and controls that specify approved contexts, users, and purposes for AI system operation to prevent misuse.
A formal policy document - enforced via technical controls (role-based access, policy-as-code engines) - that delineates who may use an AI system, for what tasks, and under what conditions. It lists prohibited use cases (e.g., mass surveillance, deceptive advertising), required approvals for sensitive operations, and monitoring protocols. Governance automates policy checks at runtime and regularly reviews policies to capture new risks or regulatory changes.
A research lab’s Sanctioned Use Policy requires any team wanting to use its facial-recognition API to obtain ethical-committee approval, sign end-user–license agreements forbidding surveillance, and log every invocation. A policy-engine gateway enforces these rules automatically at the API layer.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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