A practical, step-by-step guide to implementing the NIST AI Risk Management Framework's four functions — Govern, Map, Measure, Manage — inside your organization.
The NIST AI Risk Management Framework Playbook
What's actually in the framework, what changed after EO 14110 was revoked, and how TRAIGA just turned NIST compliance into a legal defense in Texas.
Most "complete guides" to the NIST AI risk management framework are the same four function names copy-pasted with a different logo on top. This playbook isn't. Every claim links to where it came from — a NIST publication, a law firm's analysis, a federal register — so you can check it before you repeat it in a board deck.
Inside:
- The four functions (Govern, Map, Measure, Manage) explained without the jargon, and where teams actually get stuck
- What changed since 2023: the Generative AI Profile, the EO 14110 revocation, and TRAIGA — Texas's new law that writes NIST compliance into the statute as an affirmative legal defense
- Real enforcement actions from the FTC, SEC, and state AGs — what companies got fined for, and why documented governance would have prevented it
- A six-step way to start this week, no budget approval required for step one
- How to actually get this funded internally — the pitch that works on a budget-holder, not just the argument that's technically correct
If you're the person who has to turn "we should probably do something about AI governance" into an actual plan, this playbook is built for you, not for the executive summary slide.