Vigilance Monitoring
Continuous surveillance of AI behavior and external signals (e.g., regulatory updates) to promptly identify and respond to emerging risks or non-compliance.
Definition
A holistic program combining runtime behavior monitoring (error rates, bias metrics, security alerts) with horizon-scanning activities (new regulations, policy shifts, academic findings). Alerts feed into governance workflows, and regulatory-change trackers notify compliance teams of updates requiring policy or system adjustments. Governance defines channels for threat intelligence, regulatory monitoring, and periodic review cycles to ensure the AI program remains current and compliant.
Real-World Example
A financial-trading firm’s Vigilance Monitoring team reviews daily model performance logs and scans regulatory bulletins for new guidelines (e.g., MiFID II AI usage standards). Upon detecting a proposed rule change, they initiate a policy-update process—mapping new requirements to system controls and ensuring readiness before the regulation’s effective date.
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