HITRUST AI Security Assessment and Certification Specification

Review the model card of models used by the AI system

HITRUST CSF requirement statement [?] (14.05iAISecOrganizational.1)

For externally sourced AI models deployed by the organization in production 
applications, the organization 
(1) reviews the model card prior to deployment.

Evaluative elements in this requirement statement [?]
1. For externally sourced AI models deployed by the organization in production 
applications, the organization reviews the model card prior to deployment.


Illustrative procedures for use during assessments [?]

  • Policy: Examine policies related to each evaluative element within the requirement statement. Validate the existence of a written or undocumented policy as defined in the HITRUST scoring rubric.

  • Procedure: Examine evidence that written or undocumented procedures exist as defined in the HITRUST scoring rubric. Determine if the procedures and address the operational aspects of how to perform each evaluative element within the requirement statement.

  • Implemented: Examine evidence that all evaluative elements within the requirement statement have been implemented as defined in the HITRUST scoring rubric, using a sample based test where possible for each evaluative element. Example test(s):
    • For example, review the externally sourced AI models deployed in production applications and confirm the organization reviews the model card prior to deployment.

  • Measured: Examine measurements that formally evaluate and communicate the operation and/or performance of each evaluative element within the requirement statement. Determine the percentage of evaluative elements addressed by the organization’s operational and/or independent measure(s) or metric(s) as defined in the HITRUST scoring rubric. Determine if the measurements include independent and/or operational measure(s) or metric(s) as defined in the HITRUST scoring rubric. Example test(s):
    • For example, measures indicate percentage of the organization’s externally sourced AI models deployed in production applications are reviewed. Reviews, tests, or audits are completed by the organization to measure the effectiveness of the implemented controls and to confirm that all model cards are reviewed prior to deployment.

  • Managed: Examine evidence that a written or undocumented risk treatment process exists, as defined in the HITRUST scoring rubric. Determine the frequency that the risk treatment process was applied to issues identified for each evaluative element within the requirement statement.

Placement of this requirement in the HITRUST CSF [?]

  • Assessment domain: 14 Third-party Assurance
  • Control category: 05.0 – Organization of Information Security
  • Control reference: 05.i – Identification of Risks Related to External Parties

Specific to which parts of the overall AI system? [?]
AI platform layer:
  • The deployed AI model

Discussed in which authoritative AI security sources? [?]
  • Generative AI framework for HM Government
    2023, Central Digital and Data Office, UK Government
    • Where:
      • Using generative AI safely and responsibly > Ethics > Transparency and explainability > Practical recommendations > Bullet #4

Control functions against which AI security threats? [?]
Additional information
  • Q: When will this requirement included in an assessment? [?]
    • This requirement will always be added to HITRUST assessments which include the
      Security for AI systems regulatory factor.
    • No other assessment tailoring factors affect this requirement.

  • Q: Will this requirement be externally inheritable? [?] [?]
    • No. Implementing and/or configuring this requirement is the AI application provider’s sole responsibility.