Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsAzure Security Benchmark

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

16
Controls Mapped
36
Gaps Found
23%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to Azure Security Benchmark with 23% coverage across 12 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 40 compliance gaps — primarily concentrated in AI RMF Functions.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 700 frameworks | 323K+ cross-framework mappings

Control Mappings

Showing 16 of 16 mapped controls across 1 domains. Sign up to explore all 323K+ mappings across 700 frameworks.

AI RMF Functions(16 mappings)

AIRMF-GOV-01AI Risk Management Policies
ASB-01Shared responsibility model definition
AIRMF-MAN-03AI Incident Response2 targets
ASB-22Incident response in cloud
ASB-23Cloud vulnerability management
AIRMF-MAP-02AI Risk Identification
ASB-03Cloud risk assessment
AIRMF-MAP-03AI Impact Assessment
ASB-03Cloud risk assessment
AIRMF-MEA-01AI Performance Metrics
ASB-01Shared responsibility model definition
NIST-AI600-GOV-1Legal and Regulatory Compliance2 targets
ASB-04Regulatory compliance for cloud services
DS-2Ensure Inventory of Software Components in Code
NIST-AI600-MAP-1GAI Risk Identification
DS-2Ensure Inventory of Software Components in Code
NIST-AI600-MAP-2Stakeholder Impact Assessment
ASB-03Cloud risk assessment
NIST-AI600-MEA-3Privacy Leak Assessment
DS-2Ensure Inventory of Software Components in Code
NIST-AI600-MGT-1Content Provenance Implementation
ASB-12Encryption of cloud-stored data
NIST-AI600-MGT-4Incident Response for GAI
ASB-22Incident response in cloud
NIST-AI600-MGT-5Decommissioning Procedures3 targets
ASB-12Encryption of cloud-stored data
ASB-13Data residency and sovereignty
ASB-14Data backup and recovery in cloud

Stop Paying Consultants to Read Spreadsheets

AI-powered compliance intelligence across 700 frameworks — at a fraction of consulting costs.

$0/forever

Free

  • 700 framework browser
  • Cross-framework mappings (323K+)
  • 824 compliance assessments
  • 3 AI queries & searches per day
Get Started Free
Recommended
$49/month

Professional

  • Unlimited AI Compliance Advisory
  • Unlimited full-text search
  • Framework self-assessment
  • PDF, Excel & CSV exports
Start 7-Day Free Trial →

What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and Azure Security Benchmark?

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while Azure Security Benchmark covers 54 controls. Direct mapping analysis identifies 12 overlapping controls (23% coverage). The frameworks diverge most significantly in AI RMF Functions, where 19 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct Azure Security Benchmark equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and Azure Security Benchmark?

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 12 map directly to Azure Security Benchmark controls — representing 23% coverage. The remaining 40 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to Azure Security Benchmark?

40 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in Azure Security Benchmark. The highest concentration of gaps is in AI RMF Functions with 19 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 NIST AI Risk Management Framework (AI RMF 1.0) and Azure Security Benchmark?

The domain with the highest gap count is AI RMF Functions (19 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.