Cross-Framework Mapping

Singapore AI Governance FrameworkvsNIST AI Risk Management Framework (AI RMF 1.0)

See exactly how Singapore AI Governance Framework controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.

23
Controls Mapped
21
Gaps Found
23%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Singapore AI Governance Framework maps to NIST AI Risk Management Framework (AI RMF 1.0) with 23% coverage across 10 directly mapped controls. Analysis of 44 Singapore AI Governance Framework controls identifies 34 compliance gaps — primarily concentrated in Singapore AI Governance Framework: AI Transparency & Explainability.

Source: TheArtOfService Knowledge Graph | 44 controls analysed | 704 frameworks | 359K+ cross-framework mappings

Control Mappings

Showing 20 of 23 mapped controls across 4 domains. Sign up to explore all 359K+ mappings across 704 frameworks.

Singapore AI Governance Framework: AI Risk Management(9 mappings)

SG-AIGF-01AI risk identification and assessment3 targets
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-2Stakeholder Impact Assessment
SG-AIGF-03Bias detection and mitigation2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MAN-01AI Risk Treatment
SG-AIGF-04AI model validation and testing2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MAN-01AI Risk Treatment
SG-AIGF-05Ongoing AI risk monitoring2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MAN-01AI Risk Treatment

Singapore AI Governance Framework: AI Data Governance(4 mappings)

SG-AIGF-14Privacy protection in AI training data3 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment
SG-AIGF-15Data retention for AI models
NIST-AI600-MGT-5Decommissioning Procedures

Singapore AI Governance Framework: AI Accountability & Oversight(1 mappings)

SG-AIGF-19Regulatory compliance for AI
NIST-AI600-GOV-1Legal and Regulatory Compliance

Singapore AI Governance Framework: AI Safety & Security(6 mappings)

SG-AIGF-21AI system robustness and resilience3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability
SG-AIGF-23AI model security and integrity3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability

+3 more mappings

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Related Comparisons

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What are the key differences between Singapore AI Governance Framework and NIST AI Risk Management Framework (AI RMF 1.0)?

Singapore AI Governance Framework has 44 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 10 overlapping controls (23% coverage). The frameworks diverge most significantly in Singapore AI Governance Framework: AI Transparency & Explainability, where 5 Singapore AI Governance Framework controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

How many controls map between Singapore AI Governance Framework and NIST AI Risk Management Framework (AI RMF 1.0)?

Of 44 total Singapore AI Governance Framework controls, 10 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 23% coverage. The remaining 34 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Singapore AI Governance Framework to NIST AI Risk Management Framework (AI RMF 1.0)?

34 Singapore AI Governance Framework controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Singapore AI Governance Framework: AI Transparency & Explainability with 5 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between Singapore AI Governance Framework and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is Singapore AI Governance Framework: AI Transparency & Explainability (5 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.