Govern Function
Policies + accountability + lifecycle integration mapped to NIST AI RMF sub-categories.
Map Function
AI inventory + use case classification + risk surfacing aligned to Map-1 through Map-5.
Measure Function
Metrics, TEVV, continuous monitoring - Measure-1 through Measure-4 operational.
Manage Function
Risk-treatment workflows + mitigation tracking + third-party AI integration.
GenAI Profile (AI 600-1)
Generative AI Profile implementation guidance built into each function.
Federal Procurement-Ready
Evidence pack ready for federal procurement reviews + DoD AI assurance asks.
Federal procurement now expects NIST AI RMF alignment. Enzai is how you meet it without rebuilding.
Govern, Map, Measure, Manage - the four NIST AI RMF functions in operational practice
NIST AI RMF is structured around four core functions, each with sub-categories and specific outcomes:
Govern. Cultivate a culture of risk management - policies, accountability structures, integration with broader enterprise risk. Sub-categories: Govern-1 (policies), Govern-2 (accountability), Govern-3 (workforce competence), Govern-4 (engagement), Govern-5 (lifecycle integration), Govern-6 (third-party risk).
Map. Establish context for the AI system - purpose, scope, intended uses, capabilities, risks. Sub-categories: Map-1 (context establishment), Map-2 (categorization), Map-3 (capabilities), Map-4 (risks), Map-5 (impact assessment).
Measure. Analyze, assess, benchmark, and monitor AI risks. Sub-categories: Measure-1 (identification of metrics), Measure-2 (system characteristics), Measure-3 (TEVV - testing, evaluation, validation, verification), Measure-4 (monitoring).
Manage. Allocate resources to the highest-priority risks. Sub-categories: Manage-1 (risk allocation), Manage-2 (mitigation strategies), Manage-3 (third-party risk management), Manage-4 (lifecycle response).
The Generative AI Profile (NIST AI 600-1) adds GenAI-specific implementation guidance across all four functions - relevant for any deployment using foundation models, generative AI capabilities, or fine-tuned LLMs.
NIST function | What it requires | Enzai operational workflow |
|---|---|---|
Govern | Policies, accountability, lifecycle integration | AIMS structure + role assignments + policy enforcement |
Map | Context, categorization, risk identification | AI inventory + use case classification + risk surfacing |
Measure | Metrics, TEVV, continuous monitoring | Live compliance score + automated assessment + drift detection |
Manage | Resource allocation, mitigation, third-party risk | Risk-treatment workflows + remediation tracking + TPRM integration |
Wir helfen Ihnen, Antworten zu finden
Is NIST AI RMF mandatory for federal contractors?
NIST AI RMF itself is voluntary. But federal procurement teams increasingly condition contract awards on documented NIST AI RMF alignment, particularly under OMB AI guidance and agency acquisition rules. For federal contractors, it is becoming a procurement-grade expectation.
What are the four NIST AI RMF functions?
How does the Generative AI Profile (AI 600-1) extend the framework?
How does NIST AI RMF relate to Treasury FS AI RMF?
Can NIST AI RMF evidence satisfy ISO 42001 or EU AI Act?
What does NIST AI RMF evidence look like for federal procurement?
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