| title | NIST AI RMF — Govern / Map / Measure / Manage |
|---|---|
| source-id | nist-ai-rmf |
| wiki-page | (02_References/enterprise-ai/wiki/frameworks/nist-ai-rmf-core.md) |
| last-synced | 2026-06-07 |
NIST AI Risk Management Framework (AI 100-1). The U.S. consensus standard for enterprise AI risk governance. Four functions — GOVERN, MAP, MEASURE, MANAGE — 19 categories, 72 subcategories. Referenced by the EU AI Act conformity-assessment community, the OECD, and most enterprise risk frameworks.
| Function | One-line outcome | When it applies |
|---|---|---|
| GOVERN | "A culture of risk management is cultivated and present." | Cross-cutting — infused throughout the other three |
| MAP | "Context is recognized and risks related to context are identified." | Entry point — contextual understanding before measurement |
| MEASURE | "Identified risks are assessed, analyzed, or tracked." | After MAP — produces the evidence base |
| MANAGE | "Risks are prioritized and acted upon based on a projected impact." | Ongoing — allocates response resources |
Source: NIST AI 100-1, p.20.
- GOVERN 1.1 — policies, processes, and practices for AI risk are documented, transparent, and effective
- GOVERN 1.6 — AI system inventory (most enterprise sources omit this as a first-class artifact)
- GOVERN 2.3 — executive responsibility for AI deployment decisions (not delegable to data science or legal alone)
- MAP 3.5 — human oversight processes defined pre-deployment
- MANAGE 1.1 — explicit go/no-go decision on whether deployment should proceed
- MANAGE 2.4 — supersede/disengage/deactivate capability — every AI system needs a documented "off" path
- MANAGE 4.1 — post-deployment monitoring including override, decommissioning, incident response
MAP outputs feed MEASURE, MEASURE outputs feed MANAGE, MANAGE outcomes loop back to MAP. The RMF is not a waterfall — it is a governance operating cycle.
- For skill
tech-agent-guardrail: NIST RMF GOVERN and MANAGE functions map against IMDA Dimensions 2 and 3 — use both together. - For skill
tech-stack-diagnostic: the MEASURE and MANAGE functions define what ongoing stack oversight looks like post-deployment.
NIST AI Risk Management Framework 1.0 (AI 100-1) + AI RMF Playbook. U.S. standard for managing AI risk; 19 categories, 72 subcategories.