Crosswalk pair
EU AI Act and NIST AI Risk Management Framework, control by control
3 canonical controls in Keel’s library satisfy clauses of both EU AI Act and NIST AI Risk Management Framework. Implement each once, attach the evidence once, and it counts toward each standard. The overlap is the work you don’t repeat.
The overlap
What the two libraries have in common
Every figure here counts canonical controls in Keel’s library, not clauses of either standard. Each standard’s own authored count is on its framework page.
3
Controls that satisfy both
Canonical controls that crosswalk to at least one clause of each.
8
In Keel’s library for EU AI Act
38% of them also map to NIST AI Risk Management Framework.
8
In Keel’s library for NIST AI Risk Management Framework
38% of them also map to EU AI Act.
6
Evidence artifacts expected
Across the shared controls, from Keel’s evidence guidance. Gathered once.
-
EU AI Act 38%
3 controls of 8 in Keel’s library for EU AI Act also map to NIST AI Risk Management Framework.
-
NIST AI Risk Management Framework 38%
3 controls of 8 in Keel’s library for NIST AI Risk Management Framework also map to EU AI Act.
The mapping
Controls that satisfy both
Each row is one control in Keel’s library and the clauses it answers on each side. Do the work once; both columns are then evidenced by the same artifacts.
| Canonical control | EU AI Act clauses | NIST AI Risk Management Framework clauses |
|---|---|---|
| AI risk management process A process to identify, analyze, prioritize, and treat the risks an AI system can pose, tracked over its lifecycle. | HREQ-1 | MEASURE-1.1, MANAGE-1.2, MANAGE-1.3 |
| AI verification, validation & robustness Testing that an AI system meets its requirements and performs with appropriate accuracy, robustness, and security before and during use. | HREQ-7 | MEASURE-2.3, MEASURE-2.4, MEASURE-2.5, MEASURE-2.7 |
| AI monitoring & malfunction reporting Ongoing monitoring of AI systems in operation, with a process to detect, communicate, and report malfunctions and serious incidents. | HOBL-5, HOBL-6, HOBL-7 | MANAGE-4.1, MANAGE-4.3 |
Beyond the pair
Where else this work counts
A framework is lit when a shared control above also maps to it. Unlit means none of them do — an absence, not a judgment about that standard.
Also reached by these 3 controls
- AI Governance Essentials
- Amazon Appstore Child-Directed Apps
- Apple App Store Kids Category
- CIS Critical Security Controls
- COPPA
- ESG Essentials
- GDPR
- Google Play Families
- HIPAA
- ISO 9001
- ISO/IEC 27001
- ISO/IEC 42001
- NIST Cybersecurity Framework
- NIST SP 800-171
- NIST SP 800-53
- PCI DSS
- SOC 2
- SOX (Sarbanes-Oxley) Section 404
- US Employment Law - Federal Baseline
The thesis
Why this is one project, not two
On a crosswalk-native model, NIST AI Risk Management Framework mostly lights up controls you already built for EU AI Act. You’re not re-uploading the same screenshot for a second audit. You apply the framework and see the genuine delta worth working. That’s the whole idea behind collect once, comply everywhere.
Next step
Add NIST AI Risk Management Framework to the work you already did
Apply both frameworks in one workspace and see the overlap measured against the controls you already hold.