BETA · GAMMA-Ray is published for review. The rules, the mapping and every rating here are experimental and will change. How a rating is made · what exists · send a correction
GAMMA-Rayv0.0.155 · beta

NIST AI RMF: MANAGE 4.2

Provision nist.MANAGE-4.2 · AI Risk Management Framework 1.0, subcategories · subcategory

Measurable activities for continual improvements are integrated into AI system updates and include regular engagement with interested parties, including relevant AI actors.

The text is as taken from the source. In the source: https://airc.nist.gov/airmf-resources/playbook/manage/#Manage%204.2 (the subcategory, in the NIST AI RMF Playbook (anchor found in the page); linked 2026-11-10). The instrument: AI Risk Management Framework 1.0, subcategories, a United States government work; freely reusable; read 2026-11-10.

Who cites it

IndicatorThe fact it asks forKind of linkThe assertion
I68It is improved on a regular cyclesame: evidencedAsserted in the mapping by gamma-ray@web-summit.dinis; the written basis is not recorded yet.

A link is our assertion, not the instrument's. "Same" carries the evidence to the provision in full. "Part" marks the provision as partly evidenced: the fact is one piece of what it asks. "Negation" points the other way.

The evidence that reaches it

CardThroughThis provision isThe evidenceHow far to trust it
AISLE platformI68evidenced"Monthly registry push/pull" Sourceπ Moderate · S1·R5·A1 ×3
GetVocal AI agentsI68evidenced"Every correction, escalation and validation feeds back as a learning signal." Sourceπ Moderate · S1·R5·A1 ×3
Replit AgentI68evidencedSourceπ Moderate · S1·R5·A1 ×3
Spinnable AI employeesI68evidenced"October 28, 2026" Sourceπ Moderate · S1·R5·A1 ×3
Visor.ai AI agentsI68evidenced"Nexa reads real conversations on a schedule" Sourceπ Moderate · S1·R5·A1 ×3

Touched never means complies.

Answer it directly

A company can answer this line item itself, in its own file at /.well-known/fact-ray.json, with the node gamma-ray:provision/nist.MANAGE-4.2 (how). A company that already assesses itself against NIST AI RMF can reuse that work.

All provisions