How do I scope the NIST AI RMF · MEASURE audit?

Use the brass 'Prepare evidence for NIST AI RMF · MEASURE review' button. First evidence record within 21 days of access; re-runs in a single business day.

NIST AI RMF · MEASURE.

Prepare evidence for NIST AI RMF · MEASURE review

Buyer translation: this reference page maps the mark to a tool, system, control, deployment, or evidence question. Measure function · TEVV · 19 subcategories · the audit-triad home · NIST AI RMF · MEASURE is a process framework, not a pass/fail line: it names functions, categories and controls an organisation must operate. Planisphere binds each control to a measurement, so the evidence record shows the control is not just documented but exercised — distinctness · drift · coherence scored against the named subcategory.

Reviewed 2026-07-02

01 ·

What this is.

Sixty-nine marks · cite-anchors for every regulatory regime Planisphere maps to · postmark idiom · single distinctive brass glyph per control · universal classifier · pSEO surface

Use. Measure function · TEVV · 19 subcategories · the audit-triad home.

Source. ruled measure · brass tick marks · 4-function cycle.

Register. 09 · Compliance controls — one of the ten registers of the PLANiSPHERE corpus library.

02 ·

See it work.

Evidence record you can check — not code you have to trust.

Planisphere measures your tool deployment against NIST AI RMF · MEASURE and seals the result into a signed, Merkle-rooted evidence record. The grade recomputes on your own hardware; the model state never crosses the boundary.

Prepare evidence for program review →See how a record is checked

03 ·

Promise. compliance

The contract this mark binds — derived, not asserted.

NIST AI RMF · MEASURE is a process framework, not a pass/fail line: it names functions, categories and controls an organisation must operate. Planisphere binds each control to a measurement, so the evidence record shows the control is not just documented but exercised — distinctness · drift · coherence scored against the named subcategory.

Answers: How does Planisphere produce evidence for NIST AI RMF · MEASURE?

04 ·

What it requires.

The obligation this regime imposes — and the honest ceiling. Risk-management framework

The MEASURE function of the NIST AI RMF (NIST AI 100-1) is where risk stops being asserted and starts being measured. Its 19 subcategories oblige documented, repeatable evaluation under deployment-like conditions — test sets and metrics (MEASURE 2.1), performance under fielded conditions (2.3), in-production monitoring (2.4), validity and generalizability limits (2.5), and the effectiveness of the TEVV process itself (2.13). The common thread is reproducible evidence over fleet behaviour — the obligation an evidence record is built to discharge.

What the evidence record proves.

MEASURE 2.1 (document test sets, metrics, TEVV tools) — via the probe set and METHOD.json
MEASURE 2.3 (performance under deployment-like conditions) — via a bit-exact reproducible fielded-fleet run
MEASURE 2.4 (monitor functionality and behaviour in production) — via the single-business-day re-run cadence and drift delta
MEASURE 2.5 (validity, reliability, generalizability limits) — via the 5-axis battery plus a documented coverage ceiling
MEASURE 2.13 (effectiveness of the TEVV process) — via the reproduce() verdict: bit-exact replay proves the measurement is itself measurable

What this does not prove. Planisphere does not claim full MEASURE coverage — it does not perform human-subject evaluation (2.2), environmental-impact accounting (2.12), or the privacy/fairness adjudications of 2.10/2.11. It measures model behaviour against a probe set; it does not certify that the system is safe, fair, or compliant.

Cite-anchor: NIST AI 100-1 (AI Risk Management Framework) · MEASURE function

05 ·

Questions this answers.

3 high-intent questions buyers search — each on its own page, each pinned to NIST AI RMF · MEASURE.

What ongoing-monitoring evidence does M-25-21 expect? Read the answer → Which NIST AI RMF MEASURE subcategories can a third party evidence? Read the answer → Does NIST AI RMF require independent / third-party evaluation? Read the answer →

06 ·

Where this framework's evidence lives.

Related marks, and the surface this one funnels to.

NIST AI RMF · MEASURE asks for an evidence record: The MEASURE function of the NIST AI RMF (NIST AI 100-1) is where risk stops being asserted and starts being measured. The defense AI workflow produces that record — see how it runs at /defense.