AI Risk Management
What is AI Risk Management?
The process of identifying, assessing, and mitigating risks associated with AI systems. The NIST AI Risk Management Framework provides a structured approach organised around four functions: Govern, Map, Measure, and Manage.
Terms that appear alongside ai risk management
Each of these is named in at least one of the same controls as ai risk management. The number is how many controls name both.
- governance 11 shared controls
- nist 8 shared controls
- ai risk management framework 8 shared controls
- risk management framework 8 shared controls
- ai governance 6 shared controls
- governance framework 6 shared controls
- eu ai act 5 shared controls
- nist ai risk management framework 5 shared controls
Frameworks that govern ai risk management
What the standards actually require on ai risk management
Requirements naming ai risk management across 6 standards, quoted from the control text.
AI risk management serves the organization's needs through an approach that is integrated, structured and comprehensive, looks at the whole system with every technology, function and effect on the environment and stakeholders, and accepts that AI can bring ris...
iso-iec-23894-2023::4 · Principles of AI risk management →Create and document (a) a risk management framework that addresses the specific characteristics and risks of AI systems; (b) organisation-level risk tolerance and criteria for acceptable and unacceptable risk in developing and deploying AI, including the signi...
australia-guidance-for-ai-adoption-2025::3.1.1 · 3.1.1 Create an AI risk management framework, risk criteria and assessment processes →The organization’s personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements.
AIRMF-GV-2.2 · The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements →Foster a positive risk culture in which open, proactive AI risk management is part of everyday practice, uncertainties and opportunities are discussed openly, staff are encouraged to raise concerns, and processes exist to escalate to the right accountable part...
australia-national-framework-for-the-assurance-of-ai-in-government-2024::8.3 · 8.3 Embed a positive risk culture →A developer/deployer has an affirmative defense if it discovers and cures a violation through internal testing/red-teaming and is otherwise in compliance with the latest NIST AI Risk Management Framework, ISO/IEC 42001, or another nationally/internationally re...
CO-AIA-1705 · Affirmative Defense and Recognised Frameworks →HKMA TM-G-1 coordination + 2024-2025 pipeline. COORDINATION WITH HKMA FRAMEWORKS: (a) HKMA SPM UMBRELLA (separately referenced) - TM-G-1 is one of 60+ SPM modules; SPM provides overall framework + supervisory expectations;
HKMA-TMG1-Coord-SPM-CRAF-Basel-FSB-2024-2025-Pipeline · TM-G-1 Coordination with HKMA SPM, C-RAF v2.0, Basel III, FSB, ISO 27001, NIST CSF and 2024-2025 Pipeline →Questions people ask about ai risk management
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See how AI Risk Management applies across compliance frameworks
Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.