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Policy-Adaptive Controls

Policy-Adaptive Controls are security and governance mechanisms that dynamically adjust how an AI system handles inputs, outputs, actions, or access based on predefined policies and the context of each interaction.

Common use cases

Policy-Adaptive Controls are commonly used for AI governance, data protection, access control, agent security, compliance enforcement, content moderation, and enterprise AI applications.