# Artificial Intelligence Risk Management Framework (AI RMF 1.0)

**Source:** https://www.nist.gov/itl/ai-risk-management-framework  
**Authors or institution:** National Institute of Standards and Technology  
**Publication date:** 2023-01-26  
**Publication status:** Official NIST framework  
**Evidence level:** Demonstrated  
**Date last reviewed in UTC:** 2026-06-26T00:00:00Z

## Direct findings or source content

Public AI risk management emphasizes governance, measurement, mapping, and management functions.

## Cognivirus interpretation

For Cognivirus.com, this source is used to examine risk at the level of adaptive systems, component compositions, evaluator boundaries, and behavioral persistence. The site interpretation is narrower than the source when the source is experimental, and more explicitly qualified when the source is architectural or programmatic.

## Limits

Framework does not prescribe one technical implementation for adaptive model populations. That framework adoption alone creates ecology-level assurance.

## Source handling

This local file is an original summary and metadata record. It is not a copy of the source paper, report, or website. Copyrighted source material is not reproduced in full.