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NIST AI RMF

The US National Institute of Standards and Technology's AI Risk Management Framework (version 1.0, 2023), a voluntary framework whose Manage function covers acting on and monitoring deployed AI risks; an audit trail is the raw material of that monitoring.

Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

Certified AI Governance Professional (CAIGP)

The US National Institute of Standards and Technology's AI Risk Management Framework (version 1.0, 2023), a voluntary framework whose Manage function covers acting on and monitoring deployed AI risks; an audit trail is the raw material of that monitoring.

The AI Lobbyist: Certified AI Policy Strategist

the National Institute of Standards and Technology's AI Risk Management Framework (version 1.0, January 2023), a voluntary, four-function framework (Govern, Map, Measure, Manage) increasingly referenced in U.S. federal acquisition guidance.

Certified AI Practitioner: Workplace Foundations

The US National Institute of Standards and Technology's voluntary AI Risk Management Framework, structured around the Govern, Map, Measure, and Manage functions; the risk-management backbone for AI governance (see Topic 3.4).

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where NIST AI RMF starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.

Collects, labels and preserves the evidence that a control operated, a decision was made, and a claim can be defended to an auditor or regulator.

One lesson on this page teach it as a primary outcome.

Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.

One lesson on this page teach it as a primary outcome.

Compares the EU AI Act, NIST AI RMF, ISO/IEC 42001 and sector rules by intent and control objective, and says where they do not overlap.

One lesson on this page teach it as a primary outcome.

Roles that hire for it

Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.

How job descriptions say it

Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.

“audit evidence”“record keeping”“decision log”“eu ai act”“ai act”“regulation (eu) 2024/1689”

Where the frameworks place it: EU AI Act Articles 11 and 12; ISO/IEC 42001 Clause 7.5; Regulation (EU) 2024/1689; Regulation (EU) 2026/1744.

One interview question about it

What evidence would you have ready before an auditor asks about an AI system, and how do you produce it as a byproduct of the work?

Asked of candidates for evidence collection and audit-ready documentation. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.

If you come from another field

Some backgrounds already carry this competency, and the readiness check gives credit for it.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.