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.
We help you find answers
What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
Research, insights, and updates
Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.