NIST AI Risk Management Framework
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  • NIST AI Risk Management Framework
  • GRN 1: Risk Management Documentation
  • GRN 2: AI Organisation Structure
  • GRN 3: AI Internal Stakeholders
  • GRN 4: Organisational Commitments
  • GRN 5: Stakeholder Engagement
  • GRN 6: Managing 3rd-Party Risk
  • MAP 1: AI Application Context
  • MAP 2: AI Application Classification
  • MAP 3: AI Benefits and Costs
  • MAP 4: 3rd-Party Risks and Benefits
  • MAP 5: AI Impacts
  • MRE 1: Appropriate Methods and Metrics
  • MRE 2: Trustworthy Evaluation
    • MRE 2.1 - Tools for TEVV
    • MRE 2.2 - Evaluations of Human Subjects
    • MRE 2.3 - System Performance
    • MRE 2.4 - Deployment Valid and Reliable
    • MRE 2.5 - Regular Evaluation of AI Systems
    • MRE 2.6 - Evaluation of Computational Bias
    • MRE 2.7 - Evaluation of Security and Resilience
    • MRE 2.8 - Evaluation of AI Models
    • MRE 2.9 - Evaluation of AI Privacy Risks
    • MRE 2.10 - Environmental Impact
  • MRE 3: Risk Tracking Mechanism
  • MRE 4: Measurement Feedback
  • MGE 1: Managing AI Risk
  • MGE 2: Managing AI Benefits and Impacts
  • MGE 3: Managing 3rd-Party Risk
  • MGE 4: Reporting Risk Management
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MRE 2: Trustworthy Evaluation

Systems are evaluated for trustworthy characteristics.

Controls in this Seclea risk category contain:

  • MRE 2.1 - Tools for TEVV

  • MRE 2.2 - Evaluations of Human Subjects

  • MRE 2.3 - System Performance

  • MRE 2.4 - Deployment Valid and Reliable

  • MRE 2.5 - Regular Evaluation of AI Systems

  • MRE 2.6 - Evaluation of Computational Bias

  • MRE 2.7 - Evaluation of Security and Resilience

  • MRE 2.8 - Evaluation of AI Models

  • MRE 2.9 - Evaluation of AI Privacy Risks

  • MRE 2.10 - Environmental Impact

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Last updated 2 years ago