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What applies to me? →NIST Artificial Intelligence Risk Management Framework Playbook
Issued by
National Institute of Standards and Technology AI Resource Center
The NIST AI RMF Playbook translates the AI Risk Management Framework Core into a structured set of suggested actions organized under the four functions: Govern, Map, Measure, and Manage. It is designed for organizations deploying or developing AI systems who need practical implementation guidance rather than high-level principles. Compliance teams can use it to build risk workflows, establish control checkpoints, and produce governance documentation aligned to the AI RMF.
Applies To
Overview
Published by the NIST AI Resource Center, the Playbook serves as an operational companion to the AI Risk Management Framework, providing suggested actions and outcomes for each subcategory within the Govern, Map, Measure, and Manage functions. It does not carry the force of regulation but is widely adopted as a benchmark for responsible AI governance across federal agencies and private enterprises. The June 2026 update reflects revised suggested actions, refined outcome statements, and alignment with emerging standards and sector-specific guidance issued since the original RMF publication in January 2023. Organizations can use the Playbook to self-assess maturity, assign ownership of AI risk controls, and demonstrate due diligence to regulators or auditors. It is non-prescriptive by design, allowing organizations to adapt its structure to their existing risk management programs. Federal contractors and regulated entities increasingly reference Playbook alignment when responding to agency procurement requirements and supervisory inquiries.
Key Requirements
- •No mandatory obligations; adoption is voluntary except where required by agency-specific directives or contract terms
- •Suggested actions are organized across four core functions: Govern, Map, Measure, and Manage, each with defined subcategories and outcomes
- •Organizations are expected to document which suggested actions they have implemented, partially implemented, or deferred, with rationale
- •Governance function requires establishing policies, accountability structures, and workforce roles for AI risk management before system deployment
- •Map function requires identifying AI system context, intended use, and potential impacts on affected groups prior to deployment decisions
- •Measure and Manage functions require ongoing monitoring, incident response planning, and periodic review of AI risk controls throughout the system lifecycle
What Your Organization Must Do
- →Audit all AI systems in use and map each system to the relevant Playbook subcategories to identify control gaps across the four RMF functions
- →Assign named owners to each Govern, Map, Measure, and Manage subcategory so accountability is documented and auditable
- →Incorporate Playbook suggested actions into internal AI governance policies to create a traceable link between policy language and operational controls
- →Update vendor and third-party AI procurement contracts to require suppliers to demonstrate alignment with the Playbook's Govern and Map functions
- →Build a repeatable self-assessment process using the Playbook outcomes to track risk management maturity over time and report results to senior leadership
- →Reference the June 2026 Playbook version explicitly in board-level AI governance reports and regulatory correspondence to signal currency of the organization's program
Governance Controls
Operational controls that implement requirements from this regulation.