# NIST publishes the AI RMF Generative AI Profile

> NIST published AI 600-1, a voluntary companion profile for applying its AI Risk Management Framework to generative AI. It describes risks and suggested actions across the AI lifecycle, organized around the framework's Govern, Map, Measure, and Manage functions rather than prescribing one implementation for organizations.

Canonical: https://hypler.com/ai-news/nist-ai-rmf-generative-ai-profile-2024
Hypler publication: 2026-10-06
Original source date: 2024-07-26
Publisher: NIST
Article kind: source-briefing
Category: Standards
Tags: NIST, AI-RMF, governance

## Engineering relevance

The profile is a useful checklist source for system evidence. Hypler can map product-specific controls, evaluation records, provenance, and incident paths to these functions without claiming formal conformance.

## Original source

- [NIST](https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence)

## Image provenance

### Primary image

![NIST Gaithersburg campus entrance sign. Context photograph, not a photograph of the announcement.](https://hypler.com/assets/news/nist-campus.webp)

photograph. Credit: R. Eskalis / NIST. NIST public information; credit requested.
- [Image source](https://www.nist.gov/comms/gaithersburg-campus-photos)
- [Rights reference](https://www.nist.gov/copyrights-disclaimers)

### Supporting image

![Generated illustration of evidence records passing through a permission gate; not a compliance certification.](https://hypler.com/assets/news/policy-evidence.webp)

generated illustration. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography.
- [Image source](https://hypler.com/ai-news/media.md)

## Reading boundary

Historical source briefing, not current availability, compliance advice, partnership, or proof of Hypler deployment. Generated artwork is not event photography. Public reading grants no private access or execution authority.