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Post-Market Monitoring

A provider's documented, continuous collection and analysis of data on how its high-risk AI system performs once in use, so that problems are found and fixed throughout the system's life. It is the legal form of model monitoring under the EU AI Act.

  • EU AI Act
  • Article 72
  • monitoring
  • high-risk AI
  • providers

What the Act requires

Article 72 requires providers of high-risk systems to set up a post-market monitoring system, proportionate to the risks, based on a written plan that forms part of the technical documentation. It must actively collect and analyse data on the system's performance throughout its lifetime, including data deployers provide, so the provider can check continued compliance. The 2026 Digital Omnibus replaced a planned implementing act with Commission guidance, including a template for the plan, due by 2 September 2027.

How it connects

Post-market monitoring feeds serious incident reporting (Article 73), corrective action and the next version of the system; see AI incident. Deployers contribute through their own duty to monitor operation and report problems to the provider. For a deployer the practical equivalent is model monitoring.

What good looks like

Define what will be monitored, and the thresholds that trigger action, before release; agree with deployers what data they will share; and close the loop so that findings change the system, its documentation or its instructions for use. The register entry is AI model drift and degradation; AI system monitoring and logging is the control.

Sources

Related Terms

Related risks and controls

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