Change deployed without revalidation
Updates to a model, prompt, configuration, or pipeline are released without regression testing against the prior baseline, introducing unintended deterioration in quality, safety, or fairness.
- Risk family
- Governance & process
- MIT domain
- n/a (ISO-derived)
- MIT subdomain
- n/a
- AI type
- GPAI, Classical_ML, Agentic
- Scope
- System
- Source standard
- ISO/IEC 23894 + 42001 (gap analysis)
Provenance
Framework crosswalk
Every framework item mapped to this risk. Items marked partial overlap only in part; definitions appear on hover where the source licence permits.
- A.6.2.4 ISO/IEC 42001 Annex A A.6.2.4
- A.6.2.6 ISO/IEC 42001 Annex A A.6.2.6
- ibm-mitigation-and-maintenance Mitigation and maintenance partial
More in Governance & process
Part of the Deployer AI Risk Register, an open-source resource developed by MindXO. Version 1.0, 3 July 2026. Derived from the MIT AI Risk Repository (V4, December 2025) under CC BY 4.0; an independent derivative work, not endorsed by or affiliated with MIT. Sub-risk decomposition references MITRE ATLAS™ v5.6.0 (© 2021-2026 The MITRE Corporation, reproduced and distributed with permission). ISO/IEC and EU AI Act references are by number only. License: CC BY 4.0. Full attribution and licensing.