Cross-Framework Mapping

NIST Cybersecurity Framework 2.0vsAzure Security Benchmark

See exactly how NIST Cybersecurity Framework 2.0 controls map to Azure Security Benchmark. Pre-computed mappings, identified gaps, and coverage analysis.

143
Controls Mapped
0
Gaps Found
62%
Coverage

A reviewed coverage crosswalk for this pair is available. See which Azure Security Benchmark controls you already evidence.

According to the TheArtOfService Compliance Knowledge Graph:

NIST Cybersecurity Framework 2.0 maps to Azure Security Benchmark with 62% coverage across 66 directly mapped controls. Analysis of 106 NIST Cybersecurity Framework 2.0 controls identifies 40 compliance gaps, primarily concentrated in GV - Govern.

Source: TheArtOfService Knowledge Graph | 106 controls analysed | 686 frameworks | 310K+ cross-framework mappings

Control Mappings

Showing 20 of 143 mapped controls across 6 domains. Sign up to explore all 310K+ mappings across 686 frameworks.

DE - Detect(19 mappings)

NIST-CSF-DE.AE-02Potentially adverse events are analyzed to better understand associated activities3 targets
ASBv3-IR-3Detection and analysis - create incidents based on high-quality alerts
ASBv3-IR-4Detection and analysis - investigate an incident
ASBv3-LT-1Enable threat detection capabilities
NIST-CSF-DE.AE-03Information is correlated from multiple sources2 targets
ASBv3-IR-4Detection and analysis - investigate an incident
LT-5Centralize security log management and analysis
NIST-CSF-DE.AE-04The estimated impact and scope of adverse events are understood
ASBv3-IR-5Detection and analysis - prioritize incidents
NIST-CSF-DE.AE-06Information on adverse events is provided to authorized staff and tools
ASBv3-IR-2Preparation - setup incident notification
NIST-CSF-DE.AE-08Incidents are declared when adverse events meet the defined incident criteria
ASBv3-IR-3Detection and analysis - create incidents based on high-quality alerts
NIST-CSF-DE.CM-01Networks and network services are monitored to find potentially adverse events3 targets
ASBv3-NS-4Deploy intrusion detection/intrusion prevention systems (IDS/IPS)
LT-3Enable logging for security investigation
LT-4Enable network logging for security investigation
NIST-CSF-DE.CM-03Personnel activity and technology usage are monitored to find potentially adverse events
ASBv3-LT-2Enable threat detection for identity and access management
NIST-CSF-DE.CM-06External service provider activities and services are monitored to find potentially adverse events
ASBv3-PA-8Determine access process for cloud provider support
NIST-CSF-DE.CM-09Computing hardware and software, runtime environments, and their data are monitored to find potentially adverse events6 targets
ASBv3-GS-9Define and implement endpoint security strategy
ASBv3-LT-1Enable threat detection capabilities
ASBv3-PV-4Audit and enforce secure configurations for compute resources
DP-2Monitor anomalies and threats targeting sensitive data
ES-1Use Endpoint Detection and Response (EDR)
ES-2Use modern anti-malware software

GV - Govern(1 mappings)

NIST-CSF-GV.OC-03Legal, regulatory, and contractual requirements regarding cybersecurity - including privacy and civil liberties obligations - are understood and managed
ASBv3-DP-5Use customer-managed key option in data at rest encryption when required

+123 more mappings

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Coverage crosswalk

The NIST Cybersecurity Framework 2.0 to Azure Security Benchmark crosswalk

The table above lists candidate mappings. A crosswalk answers the narrower question you are probably here for: which Azure Security Benchmark controls your existing NIST Cybersecurity Framework 2.0 work already satisfies, which are real gaps, and the reasoning behind every claim so you can check it. One pair, $299, one time.

NIST Cybersecurity Framework 2.0 into Azure Security Benchmark
44.7%

38 of 85 Azure Security Benchmark controls are evidenced by work you have already done for NIST Cybersecurity Framework 2.0. 47 are genuine gaps.

85.7%Incident Response
71.4%Logging and Threat Detection
50%Network Security
80%Asset Management
Machine verified. Claude Code on the Max plan, judged in context, signed off 2026-08-19. 97 candidate mappings were examined and 2 were removed by a pass whose job was to argue against them.Mappings were judged by Claude Code rather than read line by line by a practitioner. Every claim shows its reasoning so you can check it. Ask and a practitioner will review this pair.

A sample of what the report says

Evidenced: ASB v3 AM-1 Track asset inventory and their risks

Maintained hardware inventories are half the cloud asset inventory.

Grounded in NIST-CSF-ID.AM-01 Inventories of hardware managed by the organization are maintained. Confidence high, survived the refutation pass.

Gap: ASB v3 AM-2 Use only approved services

Restrict deployment to approved Azure services using Azure Policy and management group hierarchy with documented exceptions.

Every one of the 38 evidenced controls and 47 gaps in the report carries this much reasoning, so you can check the claim rather than take it on trust.

Azure Security Benchmark into NIST Cybersecurity Framework 2.0
39.6%

42 of 106 NIST Cybersecurity Framework 2.0 controls are evidenced by work you have already done for Azure Security Benchmark. 64 are genuine gaps.

59.1%PR - Protect
52.4%ID - Identify
72.7%DE - Detect
53.8%RS - Respond
Machine verified. Claude Code on the Max plan, judged in context, signed off 2026-08-19. 117 candidate mappings were examined and 4 were removed by a pass whose job was to argue against them.Mappings were judged by Claude Code rather than read line by line by a practitioner. Every claim shows its reasoning so you can check it. Ask and a practitioner will review this pair.

A sample of what the report says

Evidenced: NIST-CSF-DE.AE-02 Potentially adverse events are analyzed to better understand associated activities

Investigating events across broad log sources is the analysis of potentially adverse activity.

Grounded in ASBv3-IR-4 Detection and analysis - investigate an incident. Confidence high, survived the refutation pass.

Gap: NIST-CSF-DE.AE-07 Cyber threat intelligence and other contextual information are integrated into the...

Cyber threat intelligence and other contextual information are integrated into the analysis

Every one of the 42 evidenced controls and 64 gaps in the report carries this much reasoning, so you can check the claim rather than take it on trust.

NIST Cybersecurity Framework 2.0 to Azure Security Benchmark
$299
per framework pair, one time
  • Every evidenced control, with the reasoning behind it
  • Every gap, with what it requires
  • Its level of review stated plainly, not a bare number

Why this page shows two different percentages. The 62% in the header counts how many NIST Cybersecurity Framework 2.0 controls carry at least one candidate mapping in the graph, before any review. The crosswalk percentage counts something stricter: how many Azure Security Benchmark controls are actually evidenced, after a pass that argued against each mapping and kept only what survived. They answer different questions and they are not meant to agree.

A crosswalk narrows the work. It does not replace an audit, and your assessor may take a different view on individual controls. Mappings between frameworks are judgements, not text printed in either standard, which is why every claim in the report shows its reasoning. Questions go to support@theartofservice.com.

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What are the key differences between NIST Cybersecurity Framework 2.0 and Azure Security Benchmark?

NIST Cybersecurity Framework 2.0 has 106 controls across its framework, while Azure Security Benchmark covers 85 controls. Direct mapping analysis identifies 66 overlapping controls (62% coverage). The frameworks diverge most significantly in GV - Govern, where 21 NIST Cybersecurity Framework 2.0 controls have no direct Azure Security Benchmark equivalent.

How many controls map between NIST Cybersecurity Framework 2.0 and Azure Security Benchmark?

Of 106 total NIST Cybersecurity Framework 2.0 controls, 66 map directly to Azure Security Benchmark controls, representing 62% 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 Cybersecurity Framework 2.0 to Azure Security Benchmark?

40 NIST Cybersecurity Framework 2.0 controls have no direct equivalent in Azure Security Benchmark. The highest concentration of gaps is in GV - Govern with 21 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 Cybersecurity Framework 2.0 and Azure Security Benchmark?

The domain with the highest gap count is GV - Govern (21 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.