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Cubelet Catalog
Atomic knowledge units for GRC, cybersecurity, and compliance professionals.
CMMC Level 2
CISA
CISM
CRISC
CDPSE
CMMC Level 2
VulnOps
🔒 CISA
🔒 CISM
🔒 CRISC
🔒 CDPSE
NIST AI RMF
ISO 42001
EU AI Act
TRAIGA
All
GOVERN — Policies, Processes, and Accountability
MAP — Context, Risks, and Impacts
MEASURE — Evaluation, Monitoring, and Testing
MANAGE — Response, Implementation, and Communication
72 cubelets
⊞ Grid
≡ List
govern-1.1
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AI Legal and Regulatory Landscape Awareness
AI-GOVERNANCE-RMF
57/60
govern-1.2
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Embedding Trustworthy AI Characteristics into Organizational Policy
AI-GOVERNANCE-RMF
56/60
govern-1.3
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Risk Tolerance Calibration for AI Governance
AI-GOVERNANCE-RMF
57/60
govern-1.4
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Transparent AI Risk Management Policy Infrastructure
AI-GOVERNANCE-RMF
55/60
govern-1.5
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AI Risk Monitoring Governance: Planned Oversight with Accountable Roles
AI-GOVERNANCE-RMF
57/60
govern-1.6
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AI System Inventory Governance
AI-GOVERNANCE-RMF
57/60
govern-1.7
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AI System Decommissioning Governance
AI-GOVERNANCE-RMF
56/60
govern-2.1
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AI Risk Accountability Architecture: Roles, Responsibilities, and Communication Lines
AI-GOVERNANCE-RMF
57/60
govern-2.2
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AI Risk Management Training Enablement
AI-GOVERNANCE-RMF
57/60
govern-2.3
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Executive AI Risk Ownership and Accountability
AI-GOVERNANCE-RMF
55/60
govern-3.1
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Diverse Team Composition for AI Risk Decision-Making
AI-GOVERNANCE-RMF
55/60
govern-3.2
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Human-AI Role Differentiation and Oversight Accountability
AI-GOVERNANCE-RMF
57/60
govern-4.1
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Safety-First Culture and Critical Thinking in AI Governance
AI-GOVERNANCE-RMF
57/60
govern-4.2
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AI Impact Assessment Documentation and Communication
AI-GOVERNANCE-RMF
56/60
govern-4.3
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AI Testing Infrastructure, Incident Detection, and Knowledge Sharing Governance
AI-GOVERNANCE-RMF
57/60
govern-5.1
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External Stakeholder Feedback Integration for AI Impact Governance
AI-GOVERNANCE-RMF
55/60
govern-5.2
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Adjudicated Feedback Integration for AI System Design
AI-GOVERNANCE-RMF
56/60
govern-6.1
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Third-Party AI Risk Governance and IP Accountability
AI-GOVERNANCE-RMF
55/60
govern-6.2
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Third-Party AI Contingency Governance
AI-GOVERNANCE-RMF
57/60
map-1.1
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AI System Deployment Context Scoping
AI-GOVERNANCE-RMF
55/60
map-1.2
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Interdisciplinary Team Composition for AI Context Mapping
AI-GOVERNANCE-RMF
56/60
map-1.3
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AI Mission-Purpose Alignment Documentation
AI-GOVERNANCE-RMF
55/60
map-1.4
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Business Value Alignment & Contextual Purpose Definition
AI-GOVERNANCE-RMF
55/60
map-1.5
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AI Risk Tolerance Definition and Documentation
AI-GOVERNANCE-RMF
55/60
map-1.6
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Socio-Technical Requirements Elicitation for AI Systems
AI-GOVERNANCE-RMF
55/60
map-2.1
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AI Task Definition and Method Scoping
AI-GOVERNANCE-RMF
56/60
map-2.2
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AI System Knowledge Limits and Human Oversight Documentation
AI-GOVERNANCE-RMF
55/60
map-2.3
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Scientific Integrity and TEVV Scoping for AI Systems
AI-GOVERNANCE-RMF
56/60
map-3.1
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AI Benefit Documentation and Stakeholder-Grounded Utility Assessment
AI-GOVERNANCE-RMF
55/60
map-3.2
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AI Error Cost Enumeration and Risk Tolerance Alignment
AI-GOVERNANCE-RMF
56/60
map-3.3
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AI System Application Scope Definition and Documentation
AI-GOVERNANCE-RMF
57/60
map-3.4
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Operator & Practitioner Proficiency Mapping for AI Systems
AI-GOVERNANCE-RMF
57/60
map-3.5
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Human Oversight Architecture for AI Systems
AI-GOVERNANCE-RMF
57/60
map-4.1
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Third-Party AI Component Risk Mapping
AI-GOVERNANCE-RMF
56/60
map-4.2
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Third-Party AI Component Risk Control Mapping
AI-GOVERNANCE-RMF
55/60
map-5.1
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AI Impact Likelihood and Magnitude Assessment
AI-GOVERNANCE-RMF
57/60
map-5.2
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Structured Stakeholder Feedback Integration for AI Impact Monitoring
AI-GOVERNANCE-RMF
55/60
measure-1.1
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Risk-Prioritized Measurement Selection and Measurement Gap Documentation
AI-GOVERNANCE-RMF
57/60
measure-1.2
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Metric Fitness and Control Effectiveness Review
AI-GOVERNANCE-RMF
55/60
measure-1.3
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Independent and Stakeholder-Inclusive AI Assessment
AI-GOVERNANCE-RMF
56/60
measure-2.1
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TEVV Documentation Integrity: Anchoring AI Measurement to Reproducible Evidence
AI-GOVERNANCE-RMF
56/60
measure-2.2
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Human Subjects Protection and Population Representativeness in AI Evaluation
AI-GOVERNANCE-RMF
56/60
measure-2.3
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Deployment-Contextualized AI Performance Assurance
AI-GOVERNANCE-RMF
56/60
measure-2.4
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AI Production Behavior Monitoring
AI-GOVERNANCE-RMF
56/60
measure-2.5
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AI System Validity, Reliability, and Generalizability Assurance
AI-GOVERNANCE-RMF
56/60
measure-2.6
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AI Safety Risk Evaluation and Safe-Failure Assurance
AI-GOVERNANCE-RMF
57/60
measure-2.7
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AI Security & Resilience Evaluation
AI-GOVERNANCE-RMF
55/60
measure-2.8
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Transparency and Accountability Risk Examination
AI-GOVERNANCE-RMF
56/60
measure-2.9
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AI Explainability, Output Interpretation, and Contextual Documentation
AI-GOVERNANCE-RMF
57/60
measure-2.10
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AI Privacy Risk Examination and Documentation
AI-GOVERNANCE-RMF
57/60
measure-2.11
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Fairness and Bias Evaluation: Structured Evidence Generation
AI-GOVERNANCE-RMF
57/60
measure-2.12
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AI Environmental Impact Assessment and Sustainability Measurement
AI-GOVERNANCE-RMF
57/60
measure-2.13
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TEVV Metrics Effectiveness Evaluation
AI-GOVERNANCE-RMF
55/60
measure-3.1
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Deployed AI Risk Tracking and Emergent Risk Surveillance
AI-GOVERNANCE-RMF
56/60
measure-3.2
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Adaptive Risk Tracking for Unmeasurable AI Risks
AI-GOVERNANCE-RMF
57/60
measure-3.3
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Community Feedback Integration in AI System Evaluation
AI-GOVERNANCE-RMF
56/60
measure-4.1
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Context-Grounded Risk Measurement via Participatory Consultation
AI-GOVERNANCE-RMF
56/60
measure-4.2
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Human-Informed Trustworthiness Validation in AI Deployment
AI-GOVERNANCE-RMF
56/60
measure-4.3
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Field-Informed Performance Trending and Trustworthiness Baseline Management
AI-GOVERNANCE-RMF
57/60
manage-1.1
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AI System Deployment Authorization Decision
AI-GOVERNANCE-RMF
57/60
manage-1.2
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AI Risk Prioritization and Resource Allocation
AI-GOVERNANCE-RMF
57/60
manage-1.3
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Priority AI Risk Response Planning and Documentation
AI-GOVERNANCE-RMF
57/60
manage-1.4
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Residual Risk Disclosure to Downstream AI Actors
AI-GOVERNANCE-RMF
57/60
manage-2.1
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AI Risk Response Resourcing and Non-AI Alternatives Analysis
AI-GOVERNANCE-RMF
55/60
manage-2.2
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Sustaining Deployed AI System Value Through Ongoing Governance Controls
AI-GOVERNANCE-RMF
55/60
manage-2.3
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Emergent AI Risk Response and Recovery
AI-GOVERNANCE-RMF
57/60
manage-2.4
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AI System Override and Deactivation Authority
AI-GOVERNANCE-RMF
57/60
manage-3.1
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Third-Party AI Risk Monitoring and Control
AI-GOVERNANCE-RMF
57/60
manage-3.2
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Pre-Trained Model Provenance and Ongoing Risk Surveillance
AI-GOVERNANCE-RMF
57/60
manage-4.1
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Post-Deployment AI System Lifecycle Monitoring
AI-GOVERNANCE-RMF
55/60
manage-4.2
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Measurable Continual Improvement Integration for AI Systems
AI-GOVERNANCE-RMF
57/60
manage-4.3
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AI Incident Communication and Recovery Documentation
AI-GOVERNANCE-RMF
56/60