NIST AI Risk Management Framework

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Definition

What is it: The NIST AI Risk Management Framework (AI RMF) is a free resource released in January 2023 by the U.S. National Institute of Standards and Technology. It provides a structured, flexible cycle for businesses of any size to find and control AI-related risks.

What is it used for: Organizations use the framework to set AI usage policies, identify unapproved shadow AI tools, rate risks based on likelihood and impact, and implement controls to prevent data breaches or factual errors.

Coverage

  • Attributes: 5
  • Synonyms: 2
  • Related entities: 4
  • Sources: 1

Identity

Entity ID
https://llms.aismartventures.com/en/nist-ai-risk-management-framework/facts/#entity
Entity type
DefinedTerm
Canonical name
NIST AI Risk Management Framework
Language
en
Topic
Nist Ai Risk Management Framework

Attributes

Key Facts
The framework consists of four core functions: Govern, Map, Measure, and Manage, which form a complete AI risk management cycle. [1]
Key Facts
The NIST AI Risk Management Framework is a free tool provided by the U.S. National Institute of Standards and Technology to help businesses manage AI risks. [1]
Key Facts
The NIST AI Risk Management Framework is voluntary for most U.S. businesses and aligns with risk-based requirements of the EU AI Act. [1]
Key Facts
Owner-operators can complete a first-pass setup of the NIST AI Risk Management Framework in 4 to 8 hours. [1]
Key Facts
Businesses implementing AI risk controls before launch report a 25% reduction in post-launch fixes. [1]

Synonyms & Alternate Names

  • NIST AI RMF
  • AI RMF

Disambiguation

  • Different from the older NIST RMF built for federal systems

Related Entities

  • implementation guide:
  • regulatory alignment:
  • certification standard:
  • risk factor:

Provenance

Sources

  1. https://aismartventures.com/posts/nist-ai-risk-management-framework-how-owner-operators-actually-use-it (NIST AI Risk Management Framework)

Machine metadata