Endor Labs has enhanced its software composition analysis (SCA) capabilities to enable the detection of open-source AI models from the Hugging Face repository within source code. This feature allows organizations to assess risks associated with these models using the Endor Score framework, which evaluates models based on security, activity, popularity, and quality. The implementation includes capabilities to track updates and enforce reusable policies for development teams, addressing compliance needs for standards like ISO/IEC 42001:2023.
Endor Labs' new feature enhances SCA tools by detecting AI models from Hugging Face in source code, enabling risk assessment for production use.
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