AI Model Risk Assessment: Framework and Best Practices | Endor Labs

Summary

This Endor Labs guide treats AI models as software dependencies that carry supply chain risks like open source libraries, plus concerns such as training data bias and model drift. It defines AI model risk assessment as identifying, evaluating, and mitigating these risks across the model lifecycle, and it references the NIST AI RMF, ISO/IEC 42001, and the EU AI Act, whose full obligations for high-risk systems take effect August 2, 2026.

Topics

• AI regulation and standards