Azure Security BenchmarkNIST Cybersecurity Framework 2.0

Azure Security Benchmark covers 41.5% of NIST Cybersecurity Framework 2.0

44 of the 106 controls in NIST Cybersecurity Framework 2.0 are already satisfied by evidence you collected for Azure Security Benchmark. 62 are genuine gaps. Every claim below was judged against both control sets and then argued against; the ones that did not survive are published further down with the reason each failed.

41.5%
of the target already covered
44
controls evidenced
62
genuine gaps
0
claims rejected in review

This number is directional. It says how much of NIST Cybersecurity Framework 2.0 your Azure Security Benchmark evidence satisfies. The reverse pair is a different number, often very different, because a security standard has enormous depth for access control and almost none for lawful basis or data subject rights.

117 candidate mappings were examined and 0 were removed. Signed off 2026-08-19, review level machine verified. 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.

Where the gaps are

Coverage is never evenly spread. A source standard usually satisfies one part of a target almost completely and barely touches another, and which part is which is the thing worth knowing before you plan the work.

DE - Detect8 of 11 evidenced, 3 to do
RS - Respond8 of 13 evidenced, 5 to do
PR - Protect13 of 22 evidenced, 9 to do
ID - Identify11 of 21 evidenced, 10 to do
RC - Recover3 of 8 evidenced, 5 to do
GV - Govern1 of 28 evidenced, 27 to do
Govern0 of 3 evidenced, 3 to do

Theme level, not control level, deliberately. The per-control list of what is evidenced and what is a gap is the report itself, so publishing it here would be publishing the thing being sold.

Claims that held

A sample. Each one names the control whose evidence does the work, the control it satisfies, and why.

ASB v3 IR-4NIST-CSF-DE.AE-02argued against and upheld
Potentially adverse events are analyzed to better understand associated activities

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

ASB v3 LT-1NIST-CSF-DE.AE-02argued against and upheld
Potentially adverse events are analyzed to better understand associated activities

Tuned analytics rules turn raw signals into analysed, high quality adverse event findings.

ASB v3 IR-4NIST-CSF-DE.AE-03argued against and upheld
Information is correlated from multiple sources

Requiring diverse data sources without blind spots is exactly multi source correlation.

ASB v3 LT-5NIST-CSF-DE.AE-03argued against and upheld
Information is correlated from multiple sources

SIEM aggregation of security logs is the correlation of information from multiple sources.

ASB v3 IR-5NIST-CSF-DE.AE-04argued against and upheld
Estimated impact and scope of adverse events are understood

Combining alert severity with affected asset sensitivity establishes impact and scope.

ASB v3 IR-2NIST-CSF-DE.AE-06argued against and upheld
Information on adverse events is provided to authorized staff

Notification routing ensures adverse event information reaches the correct responder.

ASB v3 IR-3NIST-CSF-DE.AE-08argued against and upheld
Incidents are declared when adverse events meet defined criteria

Creating incidents from alerts meeting quality criteria is incident declaration.

ASB v3 LT-4NIST-CSF-DE.CM-01argued against and upheld
Networks and network services are monitored to find potentially adverse events

Flow, firewall and DNS logging monitors networks and network services for adverse events.

Claims that did not hold

Nothing proposed for this pair was rejected in review. That is unusual and worth knowing rather than hiding: it means the candidate set was small and every candidate held.

The full report

Everything above is a sample. The report is every evidenced control and every gap, with the reasoning and the source document behind each one, in a form you can hand to an assessor. $299, emailed immediately.

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