Human authority gates
Explicit review points separate recommendations, approvals, and consequential actions. The authorized human role and escalation path are defined in scope.
01 / Control layers
A reviewable path from policy to execution.
Attribute-based access control
Policy can evaluate user, role, data, purpose, environment, and action attributes before granting access. Exact enforcement depends on the authorized system boundary.
Tamper-evident event chain
A reference implementation can hash each audit event with the preceding event digest so later changes are detectable. Retention, signing, and evidence rules are set for the engagement.
Model and workflow evaluation
Test cases, expected outcomes, observed failures, overrides, and release criteria become reviewable evidence rather than informal confidence claims.
02 / NIST AI RMF crosswalk
Functions mapped to operating evidence.
The NIST AI Risk Management Framework organizes work into GOVERN, MAP, MEASURE, and MANAGE. The records below are practical evidence examples, not a certification.
| Function | Evidence and operating record |
|---|---|
| GOVERN | Roles, policy, approval authority, risk ownership, change control, and evidence retention. |
| MAP | Mission context, affected users, system boundary, data sources, dependencies, harms, and operating constraints. |
| MEASURE | Test suites, performance thresholds, failure analysis, override rates, access checks, and audit-chain verification. |
| MANAGE | Release gates, residual-risk decisions, monitoring, incident response, rollback, and retirement criteria. |
03 / Deployment boundary
Architecture is not authorization.
This page does not represent FedRAMP authorization, a government ATO, CMMC certification, an FCL, personnel clearances, or approval for classified use. Controls, algorithms, cryptography, retention, and review gates must be specified and verified for the exact environment.