NIST AI Risk Management Framework (AI RMF)
Was ist 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.
● Beispiele
- 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.
● Häufige Fragen
Was ist 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. Es gehört zur Kategorie Compliance und Frameworks der Cybersicherheit.
Was bedeutet 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.
Wie funktioniert 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.
Wie schützt man sich gegen NIST AI Risk Management Framework (AI RMF)?
Schutzmaßnahmen gegen NIST AI Risk Management Framework (AI RMF) kombinieren typischerweise technische Kontrollen und operative Praktiken, wie in der Definition oben beschrieben.
Welche anderen Bezeichnungen gibt es für NIST AI Risk Management Framework (AI RMF)?
Übliche alternative Bezeichnungen: AI RMF 1.0, NIST AI 100-1, NIST AI 600-1.
● Verwandte Begriffe
- 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
KI-Governance
Richtlinien, Prozesse, Rollen und Kontrollen, mit denen Organisationen und Regulierer sicherstellen, dass KI-Systeme verantwortungsvoll und rechtmäßig entwickelt, bereitgestellt und betrieben werden.
- compliance№ 433
EU-KI-Verordnung
EU-Verordnung 2024/1689 mit harmonisierten Regeln fuer kuenstliche Intelligenz nach einem risikobasierten Ansatz, gestaffelt zwischen 2025 und 2027.
- ai-security№ 038
KI-Safety
Disziplin, die unbeabsichtigte Schäden von KI-Systemen für Nutzer, Betreiber und Gesellschaft verhindern soll und technische, operative wie gesellschaftliche Aspekte umfasst.
- ai-security№ 036
KI-Red-Team
Spezialteam, das Angreifer gegen KI-Systeme simuliert, um Sicherheits-, Safety- und Missbrauchsrisiken vor realen Angreifern aufzudecken.
- compliance№ 818
NIST Cybersecurity Framework
Freiwilliges, risikobasiertes Rahmenwerk des US-amerikanischen NIST, das Cybersicherheitsziele in sechs Kernfunktionen gliedert.
● Siehe auch
- № 037AI Red Teamer