The Artificial Intelligence Risk Management Framework from the National Institute of Standards and Technology. A comprehensive approach to managing AI risks throughout the system lifecycle.
The NIST AI Risk Management Framework (AI RMF 1.0), released in January 2023, is a voluntary framework designed to help organizations manage risks associated with AI systems. Developed through extensive collaboration with the public and private sectors, it provides a flexible, structured approach to AI risk management.
Unlike prescriptive regulations, the AI RMF offers principles and practices that can be adapted to any organization's size, sector, or AI use case. It emphasizes a socio-technical approach, recognizing that AI risks emerge from both technical characteristics and human factors.
The framework complements existing risk management standards and is designed to work alongside programs like ISO 31000, NIST CSF, and sector-specific requirements. It serves as a foundation for many emerging AI regulations worldwide.
The AI RMF defines seven characteristics that contribute to trustworthy AI
AI systems perform as intended consistently over time
AI systems do not pose unreasonable risks of harm
AI systems maintain confidentiality, integrity, and availability
Organizations and people are answerable for AI system decisions
AI system outputs can be understood by stakeholders
AI systems protect individual and collective privacy
AI systems manage equality and equity concerns across populations
The AI RMF organizes risk management activities into four interconnected functions
Cultivate a culture of risk management with policies, processes, and accountability structures for AI systems.
Establish context to frame risks relative to the AI system and its intended purposes and stakeholders.
Employ quantitative and qualitative methods to analyze, assess, benchmark, and monitor AI risks.
Allocate resources to address mapped and measured AI risks through prioritization and response strategies.
Voluntary framework from NIST - the trusted authority on security and technology standards
Designed to be technology-agnostic and applicable across all AI system types
Addresses socio-technical dimensions including human factors and organizational culture
Provides Playbook with specific implementation guidance and use cases
Aligns with and informs international AI standards including ISO 42001
Regularly updated with community input through AI RMF Profiles
Required for federal agencies and contractors. Executive Order 14110 mandates AI RMF adoption across government AI systems.
NIST frameworks are the gold standard in cybersecurity. AI RMF adoption signals mature, responsible AI practices to enterprise buyers.
Addresses technical, organizational, and societal dimensions of AI risk that other frameworks may overlook.
The AI RMF Playbook provides specific, actionable guidance with suggested actions for each subcategory.
Create customized AI RMF profiles aligned with your organization's context, risk tolerance, and regulatory requirements.
Systematic assessment of your current AI practices against AI RMF categories and subcategories to identify improvement opportunities.
Prioritized action plans mapping AI RMF Playbook guidance to your specific AI systems and organizational capabilities.
Ongoing assessment and reporting to demonstrate AI RMF alignment to stakeholders, auditors, and enterprise customers.
Let's build a trustworthy AI program aligned with federal guidance.