Runtime Governance

Runtime governance refers to the policies, controls, and monitoring mechanisms that are actively enforced while AI systems are operating in production environments. This includes real-time oversight of model outputs, detection of anomalies or drift, enforcement of usage restrictions, and immediate intervention capabilities when systems behave unexpectedly or violate established guardrails. For enterprise AI governance, runtime governance is critical because it provides continuous assurance that deployed models remain safe, compliant, and aligned with business objectives even as data and operating conditions change.

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