Post-Market Monitoring

Post-market monitoring is the ongoing process of watching how an AI system performs and behaves after it has been deployed and is in real use, rather than only testing it before launch. Under the EU AI Act, providers of high-risk AI systems must run a documented monitoring plan that collects performance data, tracks incidents, and feeds findings back into risk management. For compliance and risk teams, it is the mechanism that catches problems like accuracy drift, bias that emerges with new user populations, or harms that pre-release testing missed.

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ResearchGlobal2026-11-03

1,000+ AI Rules, One Audit Gap: Runtime Evidence Is What Regulators Want

Openlayer's Country-by-Country AI Regulation Guide maps more than 1,000 AI policy initiatives across 72 countries. It finds that regulators worldwide are converging on the same core requirements: risk classification, human oversight, transparency, post-market monitoring, and version-linked documentation. The critical finding for compliance teams is that audit readiness now requires evidence that controls operated during live production use, not just that they were designed.

Openlayer multi-jurisdiction compliance audit readiness risk classification AI regulation post-market monitoring runtime evidence