AI governance
NIST AI RMF 1.0
National Institute of Standards and Technology
A voluntary framework for managing the risks of AI systems.
AI governance
NIST AI RMF Context for Human-Reviewed Utility AI
How the NIST AI Risk Management Framework can inform GridAPM pilot governance for local-first, human-reviewed agentic AI in transformer APM.
Context, not certification
GridAPM cites NIST - AI Risk Management Framework for public context. This page does not reproduce copyrighted standard text and does not claim certification, conformance, or endorsement.
What it covers
Use standards context to improve evidence quality.
Critical infrastructure AI should be governed around risk, accountability, traceability, human oversight, and measured deployment scope. NIST AI RMF is useful public context for explaining why GridAPM keeps agentic AI bounded and reviewable.
- Named AI workflow purpose, approved data sources, and prohibited actions.
- Human review gates before recommendations become reportable decisions.
- Audit trail for prompts, sources, draft rationale, edits, approvals, and escalations.
- Security, privacy, retention, and data-handling boundaries for controlled pilots.
How GridAPM references it
Where this reference fits in the workbench.
GridAPM can help utilities evaluate AI-assisted evidence workflows with review gates, provenance, and audit records. The public site should not claim NIST certification or that AI output is final engineering advice.
- Intake
- Correlate & quality gate
- Agent reasoning
- Engineer sign-off
- Work package & report
What it does not mean
Boundaries we keep in writing.
- No NIST certification claim.
- No autonomous operation or final diagnostic authority claim.
- Governance requirements should be reviewed by the customer's security, legal, OT, and asset teams.
Next steps
Connect the reference to a pilot workflow.
Trust and AI governance
How review gates, provenance, and audit records govern the agents.
Security and deployment
The local-first deployment boundary and what never crosses it.
Data handling
What data enters a pilot, where it lives, and what never leaves.
Utility Agentic AI Governance Checklist
Review gates, audit-trail, and approval-path questions for utility AI (PDF).
FAQ
Standards language stays careful.
Does GridAPM claim NIST AI RMF certification?
No. NIST AI RMF is referenced as governance context for risk-aware AI pilots and human-reviewed workflows.
What should agentic AI not do in GridAPM positioning?
It should not be described as autonomously operating grid assets, bypassing engineer approval, or issuing final diagnostic authority.
Test the workflow on your own fleet.
An eight-week pilot runs on your approved evidence, with your engineers keeping sign-off authority at every step.