NIST AI RMF · MEASURE.
The MEASURE function of the NIST AI RMF (NIST AI 100-1) is where risk stops being asserted and starts being measured. The evidence record proves: MEASURE 2.1 (document test sets, metrics, TEVV tools) — via the probe set and METHOD.json
Reviewed 2026-07-08
What this is.
Use. Measure function · TEVV · 19 subcategories · the audit-triad home.
Register. 09 · Compliance controls — one of the 17 registers of the PLANiSPHERE corpus library.
See it work.
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.
Promise. compliance
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?
What it requires.
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
Questions this answers.
Where this framework's evidence lives.
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. Read the related defense AI workflow product context at /defense.
DoW RAI S&IP reg 09 · Responsible · Equitable · Traceable · Reliable · Governable NIST 800-53 · AU reg 09 · Audit & Accountability control family · maps to the evidence record NIST 800-53 · CA reg 09 · Assess/Authorize/Monitor family · maps to the re-run cadence NIST AI 600-1 GenAI Profile reg 09 · Generative-AI risk profile · companion to the AI RMF NIST AI RMF reg 09 · NIST AI 100-1 · Govern · Map · Measure · ManageSibling marks. Compliance controls
For each vertical.
NIST AI RMF · MEASURE for defense AI workflow
NIST AI RMF · DoW RAI · OMB M-25-21 Open the pageNIST AI RMF · MEASURE for clinical AI workflow
HHS §1557 · HIPAA · FDA PCCP Open the pageNIST AI RMF · MEASURE for legal AI workflow
FRE 702 · ABA Model Rules Open the pageNIST AI RMF · MEASURE for tutor and grader workflow
Title VI · FERPA · §504 / IDEA Open the pageSee the record NIST AI RMF · MEASURE asks for.
The console shows the evidence; the docs show the endpoints; the briefing shows what the product does and does not claim.