NIST AI Risk Management Framework (AI RMF)
O que é NIST AI Risk Management Framework (AI RMF)?
NIST AI Risk Management Framework (AI RMF)NIST's voluntary framework for managing AI risks, published January 2023 (AI RMF 1.0) with a Generative AI Profile released in July 2024, organized around four Functions: Govern, Map, Measure, and Manage.
The NIST AI Risk Management Framework (AI RMF 1.0), published 26 January 2023, is a voluntary, sector-agnostic framework for managing risks to individuals, organizations, and society from the design, development, deployment, and use of AI systems. It is structured around four core Functions: Govern (culture, policy, oversight), Map (context, characterization, risk identification), Measure (analysis and assessment of risks), and Manage (prioritization, response, communication). Each Function is broken into Categories and Subcategories with outcome statements rather than prescriptive controls. NIST released the Generative AI Profile (NIST AI 600-1) in July 2024, adding GenAI-specific risk categories (confabulation, dangerous-content generation, data privacy, environmental, human-AI configuration, information integrity, IP, obscene/sexual content, value chain) with mapped actions. AI RMF is increasingly referenced by regulators (it appears in the U.S. Executive Order 14110 and is mapped to ISO/IEC 42001 controls), used by enterprises as the structure for AI policies and red-team programs, and forms the basis of vendor questionnaires.
● Exemplos
- 01
An enterprise's AI governance committee adopts the Map/Measure/Manage/Govern structure as the table of contents for its internal AI risk policy.
- 02
A LLM red-team plan uses the NIST GenAI Profile's risk categories (confabulation, dangerous content, value chain) to scope test cases.
● Perguntas frequentes
O que é NIST AI Risk Management Framework (AI RMF)?
NIST's voluntary framework for managing AI risks, published January 2023 (AI RMF 1.0) with a Generative AI Profile released in July 2024, organized around four Functions: Govern, Map, Measure, and Manage. Pertence à categoria Conformidade e frameworks da cibersegurança.
O que significa NIST AI Risk Management Framework (AI RMF)?
NIST's voluntary framework for managing AI risks, published January 2023 (AI RMF 1.0) with a Generative AI Profile released in July 2024, organized around four Functions: Govern, Map, Measure, and Manage.
Como funciona NIST AI Risk Management Framework (AI RMF)?
The NIST AI Risk Management Framework (AI RMF 1.0), published 26 January 2023, is a voluntary, sector-agnostic framework for managing risks to individuals, organizations, and society from the design, development, deployment, and use of AI systems. It is structured around four core Functions: Govern (culture, policy, oversight), Map (context, characterization, risk identification), Measure (analysis and assessment of risks), and Manage (prioritization, response, communication). Each Function is broken into Categories and Subcategories with outcome statements rather than prescriptive controls. NIST released the Generative AI Profile (NIST AI 600-1) in July 2024, adding GenAI-specific risk categories (confabulation, dangerous-content generation, data privacy, environmental, human-AI configuration, information integrity, IP, obscene/sexual content, value chain) with mapped actions. AI RMF is increasingly referenced by regulators (it appears in the U.S. Executive Order 14110 and is mapped to ISO/IEC 42001 controls), used by enterprises as the structure for AI policies and red-team programs, and forms the basis of vendor questionnaires.
Como se defender contra NIST AI Risk Management Framework (AI RMF)?
As defesas contra NIST AI Risk Management Framework (AI RMF) costumam combinar controles técnicos e práticas operacionais, conforme detalhado na definição acima.
Quais são outros nomes para NIST AI Risk Management Framework (AI RMF)?
Nomes alternativos comuns: AI RMF 1.0, NIST AI 100-1, NIST AI 600-1.
● Termos relacionados
- compliance№ 624
ISO/IEC 42001
The first international management-system standard for AI, published in December 2023, specifying requirements to establish, implement, maintain, and continually improve an AI Management System (AIMS) for organizations that develop or use AI.
- ai-security№ 031
Governança de IA
Conjunto de políticas, processos, papéis e controlos usados por organizações e reguladores para garantir que sistemas de IA são desenvolvidos, implementados e operados de forma responsável e conforme à lei.
- compliance№ 433
Regulamento Europeu de IA
Regulamento UE 2024/1689 que estabelece regras harmonizadas sobre inteligencia artificial com uma abordagem baseada no risco, com aplicacao faseada entre 2025 e 2027.
- ai-security№ 038
Safety de IA
Disciplina que procura evitar que sistemas de IA causem danos não intencionais a utilizadores, operadores e à sociedade, abrangendo dimensões técnicas, operacionais e sociais.
- ai-security№ 036
Red team de IA
Equipa especializada que simula adversários contra sistemas de IA para descobrir riscos de segurança, safety e uso indevido antes dos atacantes reais.
- compliance№ 818
NIST Cybersecurity Framework
Referencial voluntário baseado em risco, publicado pelo NIST dos EUA, que organiza os resultados de cibersegurança em seis funções essenciais.
● Veja também
- № 037AI Red Teamer