Runtime Policy Enforcement

Runtime policy enforcement refers to the active application of governance rules and compliance requirements during the execution of AI systems and applications, rather than only at design or deployment stages. This capability enables organizations to monitor model behavior in real-time, intervene when outputs violate defined policies, and automatically adjust system responses to prevent harmful, biased, or non-compliant decisions. For enterprise AI governance, runtime enforcement is critical because it provides continuous oversight and control over AI systems operating at scale, ensuring they remain aligned with regulatory requirements, risk thresholds, and organizational values even as data conditions change.

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