What is the most common gap auditors find on MP-2.1?

Task defined as the product name rather than as a learning or decision task

`MP-2.1` The specific task, and methods used to implement the task, that the AI system will support is defined

Q: What evidence do auditors commonly ask for on MP-2.1 The specific task, and methods used to implement the task, that the AI system will support is defined?

The documented task the system performs, stated narrowly; The method or model class used to implement the task; The boundary of what the system does not do; Evidence the definition was updated when the task changed.

The specific task, and methods used to implement the task, that the AI system will support is defined (e.g., classifiers, generative models, recommenders). The learning or decision task is stated narrowly, together with the method class used to implement it, because a narrow task definition is what makes the risk mapping tractable.

Source: NIST AI RMF 1.0, MP-2.1. The statement above is our statement of the clause, read from the published text and cited so you can check it against the official text, not the instrument verbatim. Open NIST AI RMF 1.0 in the compliance library.

artefacts

held by a system

at each review

hard

to go live

Document repository

where the evidence lives

teal = a system already holds it · olive = produced at each review. To go live: easy when half or more of the artefacts are already held by a system, moderate from a quarter to a half, hard below a quarter.

These are the artefacts auditors commonly ask for on this requirement, our guidance rather than text from the standard. Your assessor decides what is sufficient in your context, and asks for samples across the period when a report covers one.

system holds itEvidence a system already holds

none for this control

periodic reviewEvidence produced at each review

Evidence the definition was updated when the task changed · Document repository

governing documentDocuments that govern the control

The documented task the system performs, stated narrowly · Document repository
The method or model class used to implement the task · Document repository
The boundary of what the system does not do · Document repository

First move

No system holds this evidence for you: it is people and documents. Reminders and routing to the owner still save time. Put the document under version control with an owner and review date, and log each review as a record with reviewer and date.

Common gaps auditors find

Task defined as the product name rather than as a learning or decision task
Method recorded as machine learning with no class identified
Definition unchanged after a general-purpose model replaced a narrow one

Do this for your whole sheet

Paste the rows you run your controls from and get this mapping for every control at once, with the periodic-review ones flagged and a first move per row. No account for the first run.

Build my evidence sheet

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