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AI security certification spec. - Exposure draft

The AI security certification requirements exposure draft outlines what's needed for deployers of AI-enabled systems to achieve the upcoming HITRUST AI security certification. This exposure draft is intended to provide guidance and expectations of the AI-security focused HITRUST CSF requirements and details of certification achievement to the HITRUST community.

HITRUST invites all stakeholders to review and submit feedback by Oct 17, 2024. Note that in providing feedback, you grant HITRUST a perpetual, irrevocable, royalty-free, worldwide, non-exclusive, transferable, sublicensable right to make, use, sell, offer for sale, import, or otherwise incorporate into the HITRUST Cybersecurity Certification for Deployed AI Systems certification and/or the HITRUST CSF any suggestions, enhancements, recommendations or other feedback you provide.

AI security certification spec. - Exposure draft

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  1. Threat inherent to language models: Misalignment

    Threats inherent to language models - Misalignment

    Description: The production of content that contradicts the goals, policies, or intentions of developers.

    Impact: Depends on the ability of end users to exploit content for malicious purposes such as reputational damage or social engineering, even if terms of service of Gen AI system state that it does not represent the views of developers.

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