NIST AI Risk Management Framework · 1.0

The NIST AI Risk Management Framework (AI RMF 1.0) is a voluntary, public-domain framework for managing AI risk, organized around four functions: Govern, Map, Measure, and Manage. It is the common US reference for building trustworthy AI.

72

requirements tracked

Core plans

Access

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Scope

How much of the standard Keel models

Models its declared scope in full

Keel authors every leaf requirement in the scope declared below, all 72 of them, with nothing inside that scope left out. A test fails the build if the authored count and the declared count ever diverge, so this framework cannot quietly lose requirements after the fact.

Authored in Keel: 72 requirements
In Keel’s scored scope: 72 leaf requirements

Keel publishes this for every framework it ships, complete or not, so a readiness percentage can be read against a denominator you can see. Compare every framework

Who it is for

Who needs NIST AI Risk Management Framework?

US organizations and federal contractors standing up AI governance
Teams that want a voluntary, flexible framework rather than a certification
Risk and security leaders aligning AI risk with their existing programs

What Keel does

How Keel helps with NIST AI Risk Management Framework

The Govern, Map, Measure, and Manage functions as a trackable control set
Evidence shared with your other frameworks so you are not duplicating work
A live readiness view across all four functions

Collect once, comply everywhere

NIST AI Risk Management Framework shares canonical controls with ISO/IEC 42001, AI Governance Essentials and EU AI Act and others in the catalog. Implement one of those controls and it counts toward every framework it satisfies, so adding NIST AI Risk Management Framework rarely means starting from scratch.

Shares canonical controls with

ISO/IEC 27001 shares canonical controls
CIS Critical Security Controls no shared canonical controls
PCI DSS no shared canonical controls
SOC 2 no shared canonical controls
SOX (Sarbanes-Oxley) Section 404 no shared canonical controls
NIST Cybersecurity Framework shares canonical controls
NIST SP 800-53 shares canonical controls
FedRAMP Rev5 Class B shares canonical controls
FedRAMP Rev5 Class C shares canonical controls
FedRAMP Rev5 Class D shares canonical controls
FedRAMP 20x shares canonical controls
FedRAMP Consolidated Rules no shared canonical controls
NIST SP 800-171 no shared canonical controls
HIPAA no shared canonical controls
GDPR shares canonical controls
COPPA no shared canonical controls
Google Play Families no shared canonical controls
Amazon Appstore Child-Directed Apps no shared canonical controls
Apple App Store Kids Category no shared canonical controls
PIPEDA no shared canonical controls
ISO 9001 shares canonical controls
AI Governance Essentials shares canonical controls
ISO/IEC 42001 shares canonical controls
EU AI Act shares canonical controls
ESG Essentials shares canonical controls
US Employment Law - Federal Baseline no shared canonical controls

A framework is lit when at least one canonical control satisfies both NIST AI Risk Management Framework and that framework. Unlit means none of them do, which is an absence rather than a judgment about that standard. 13 of 26 are lit here.

Other frameworks: ISO/IEC 27001 · CIS Critical Security Controls · PCI DSS · SOC 2 · SOX (Sarbanes-Oxley) Section 404 · NIST Cybersecurity Framework · All frameworks