The four core functions of the framework explained, with the questions worth asking at each stage of the AI lifecycle.
The NIST AI Risk Management Framework (AI RMF 1.0, NIST AI 100-1, published 26 January 2023) organises its core around four functions: Govern, Map, Measure and Manage. Govern is cross-cutting and informs the other three; Map, Measure and Manage describe how risk is identified, analysed and acted on across the AI lifecycle. They are not a strict sequence — in practice you revisit them continuously as a system changes.
Govern is the cross-cutting function. It establishes the culture, accountability, policies and processes that make risk management real rather than aspirational, and it shapes how the other three functions are carried out.
Map establishes the context. It frames the setting in which an AI system operates so that risks can be identified before they are measured — including intended purpose, stakeholders, system boundaries and potential harms.
Measure analyses, benchmarks and monitors AI risk using a mix of quantitative and qualitative methods. It turns the risks identified in Map into something that can be assessed, tracked and compared over time.
Manage allocates resources to the risks that have been mapped and measured. It is where prioritisation, treatment and response happen, including the decisions about what to accept, mitigate or stop.
Our Governance Platform is structured so that the activities under each RMF function — the policies, the mapped context, the measurements and the response actions — are captured as controls and evidence aligned to the framework, rather than living in disconnected documents.
Turn Govern, Map, Measure and Manage into controls and evidence you can run.