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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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Regulatory Landscape Mapping and Compliance Obligation Management
AI-GOVERNANCE-RMF
53/60
govern-1.2
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Embedding Trustworthy AI Characteristics Into Organizational Governance Infrastructure
AI-GOVERNANCE-RMF
53/60
govern-1.3
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Risk Tolerance–Calibrated Governance Intensity
AI-GOVERNANCE-RMF
55/60
govern-1.4
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Risk Management Governance Framework Design and Documentation
AI-GOVERNANCE-RMF
52/60
govern-1.5
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Dynamic Risk Governance: Continuous Monitoring and Accountability Cadence
AI-GOVERNANCE-RMF
52/60
govern-1.6
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AI System Inventory and Risk-Based Allocation
AI-GOVERNANCE-RMF
52/60
govern-1.7
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Controlled AI System Retirement and Data Stewardship
AI-GOVERNANCE-RMF
53/60
govern-2.1
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Structural Clarity in AI Risk Accountability
AI-GOVERNANCE-RMF
52/60
govern-2.2
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AI Risk Management Competency Development Through Structured Training
AI-GOVERNANCE-RMF
54/60
govern-2.3
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Executive Risk Ownership and AI Risk Appetite Declaration
AI-GOVERNANCE-RMF
52/60
govern-3.1
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Epistemic Diversity in AI Risk Governance
AI-GOVERNANCE-RMF
51/60
govern-3.2
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Role and Responsibility Differentiation in Human-AI Configurations
AI-GOVERNANCE-RMF
53/60
govern-4.1
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Safety-First Risk Culture and Critical Challenge Mechanisms
AI-GOVERNANCE-RMF
52/60
govern-4.2
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AI Impact Assessment as Structured Risk Communication
AI-GOVERNANCE-RMF
52/60
govern-4.3
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AI Testing Infrastructure, Incident Detection, and Information Sharing Governance
AI-GOVERNANCE-RMF
55/60
govern-5.1
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External Stakeholder Feedback Integration for AI Risk and Impact Assessment
AI-GOVERNANCE-RMF
53/60
govern-5.2
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Structured Feedback Integration for AI System Design
AI-GOVERNANCE-RMF
53/60
govern-6.1
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Third-Party AI Risk Governance: Policies for External AI Dependencies and IP Exposure
AI-GOVERNANCE-RMF
54/60
govern-6.2
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Third-Party AI Failure Contingency Governance
AI-GOVERNANCE-RMF
54/60
map-1.1
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AI Deployment Context and Purpose Scoping
AI-GOVERNANCE-RMF
55/60
map-1.2
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Interdisciplinary Team Composition for AI Risk Context Mapping
AI-GOVERNANCE-RMF
52/60
map-1.3
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AI System Purpose Alignment with Organizational and Societal Values
AI-GOVERNANCE-RMF
52/60
map-1.4
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Business Value and Deployment Context Alignment
AI-GOVERNANCE-RMF
52/60
map-1.5
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AI Risk Tolerance Determination and Documentation
AI-GOVERNANCE-RMF
55/60
map-1.6
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Sociotechnical Requirements Elicitation and Trustworthy Design Integration
AI-GOVERNANCE-RMF
54/60
map-2.1
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AI System Task and Method Definition
AI-GOVERNANCE-RMF
53/60
map-2.2
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Knowledge Limits and Human Oversight Documentation
AI-GOVERNANCE-RMF
54/60
map-2.3
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Scientific Validity and Evidence Generation for AI System Claims
AI-GOVERNANCE-RMF
52/60
map-3.1
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Participatory Benefits Discovery and Stakeholder Mapping
AI-GOVERNANCE-RMF
53/60
map-3.2
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AI Error Cost Anticipation and Risk Tolerance Calibration
AI-GOVERNANCE-RMF
54/60
map-3.3
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AI System Scope Specification and Boundary Definition
AI-GOVERNANCE-RMF
53/60
map-3.4
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Human-AI Teaming Competency Architecture
AI-GOVERNANCE-RMF
54/60
map-3.5
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Human Oversight Process Design and Documentation
AI-GOVERNANCE-RMF
53/60
map-4.1
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Third-Party AI Component Risk Mapping
AI-GOVERNANCE-RMF
55/60
map-4.2
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Third-Party Component Risk Inventory and Control Mapping
AI-GOVERNANCE-RMF
52/60
map-5.1
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Impact Likelihood and Magnitude Assessment
AI-GOVERNANCE-RMF
52/60
map-5.2
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Stakeholder Feedback Integration for AI Impact Monitoring
AI-GOVERNANCE-RMF
52/60
measure-1.1
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Risk-Ranked Measurement Portfolio Construction
AI-GOVERNANCE-RMF
52/60
measure-1.2
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Metric Validity Assessment and Control Effectiveness Evaluation
AI-GOVERNANCE-RMF
54/60
measure-1.3
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Independent and Stakeholder-Informed AI System Assessment
AI-GOVERNANCE-RMF
52/60
measure-2.1
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AI System Measurement Documentation & Reproducibility
AI-GOVERNANCE-RMF
52/60
measure-2.2
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Human-Centered Evaluation Governance: Subject Protection and Population Representativeness
AI-GOVERNANCE-RMF
53/60
measure-2.3
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Deployment-Context Performance Validation
AI-GOVERNANCE-RMF
52/60
measure-2.4
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Production Behavior Monitoring and Drift Detection
AI-GOVERNANCE-RMF
52/60
measure-2.5
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AI System Validity, Reliability, and Generalization Boundary Documentation
AI-GOVERNANCE-RMF
53/60
measure-2.6
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Safety Risk Validation and Continuous Monitoring
AI-GOVERNANCE-RMF
53/60
measure-2.7
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Active Security Testing and Resilience Validation of AI Systems
AI-GOVERNANCE-RMF
53/60
measure-2.8
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Transparency and Accountability Risk Operationalization
AI-GOVERNANCE-RMF
52/60
measure-2.9
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Explainability Validation and Contextual Output Interpretation
AI-GOVERNANCE-RMF
52/60
measure-2.10
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AI Privacy Risk Examination and Documentation
AI-GOVERNANCE-RMF
54/60
measure-2.11
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Empirical Fairness and Bias Evaluation
AI-GOVERNANCE-RMF
52/60
measure-2.12
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Environmental Impact Quantification and Baseline Setting for AI System Operations
AI-GOVERNANCE-RMF
52/60
measure-2.13
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Metric Validity and Utility Assessment
AI-GOVERNANCE-RMF
52/60
measure-3.1
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Continuous AI Risk Surveillance and Emergence Detection
AI-GOVERNANCE-RMF
53/60
measure-3.2
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Adaptive Risk Tracking for Unmeasurable or Emerging AI Risks
AI-GOVERNANCE-RMF
53/60
measure-3.3
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Feedback and Appeal Mechanisms for AI System Evaluation
AI-GOVERNANCE-RMF
53/60
measure-4.1
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Stakeholder-Informed Risk Measurement Design
AI-GOVERNANCE-RMF
52/60
measure-4.2
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Stakeholder-Informed Trustworthiness Validation Across AI Lifecycle
AI-GOVERNANCE-RMF
53/60
measure-4.3
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Performance Drift Detection Through Stakeholder-Informed Field Observation
AI-GOVERNANCE-RMF
53/60
manage-1.1
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AI Deployment Go/No-Go Decision Authority
AI-GOVERNANCE-RMF
56/60
manage-1.2
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Risk Treatment Prioritization for AI Systems
AI-GOVERNANCE-RMF
55/60
manage-1.3
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High-Priority AI Risk Response Planning
AI-GOVERNANCE-RMF
55/60
manage-1.4
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Residual Risk Disclosure to Downstream AI Actors
AI-GOVERNANCE-RMF
55/60
manage-2.1
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Risk Response Through Resource Allocation and Non-AI Alternatives
AI-GOVERNANCE-RMF
53/60
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 Risk Response & Recovery Capability
AI-GOVERNANCE-RMF
53/60
manage-2.4
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AI System Override and Deactivation Authority
AI-GOVERNANCE-RMF
55/60
manage-3.1
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Third-Party AI Risk Control and Continuous Monitoring
AI-GOVERNANCE-RMF
52/60
manage-3.2
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Third-Party Model Dependency Monitoring in AI System Operations
AI-GOVERNANCE-RMF
52/60
manage-4.1
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Live AI System Performance Stewardship and Continuous Trustworthiness Assurance
AI-GOVERNANCE-RMF
54/60
manage-4.2
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Systematic Feedback Integration and Multi-Stakeholder Improvement Governance
AI-GOVERNANCE-RMF
53/60
manage-4.3
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AI Incident Communication and Recovery Documentation
AI-GOVERNANCE-RMF
54/60