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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MRE 1.3 - Stakeholder Assessment Consultation
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MRE 2.1 - Tools for TEVV
Last modified
8mo ago