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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. Filter out "liability generating" (or "compromising") Gen AI outputs

    Generative AI outputs that create financial or other liability (for example, by making promises) are filtered before reaching the end-user of the AI system.

    For example, https://venturebeat.com/ai/a-chevy-for-1-car-dealer-chatbots-show-perils-of-ai-for-customer-service/. A specially trained LLM or other NLP can be used to flag responses that have compromising content.

    This would be added alongside "toxic", "protected", and "sensitive" output, because it is a true fourth category.

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