NIST AI RMF: Where to Start with AI Governance

Source: Rivial Security Blog

Author: Randy Lindberg

URL: https://www.rivialsecurity.com/blog/nist-ai-rmf-where-to-start-with-ai-governance

ONE SENTENCE SUMMARY:

Start AI governance with NIST AI RMF Govern, integrate into cyber risk, add inventories/controls, use FS AI RMF, report quantified ROI.

MAIN POINTS:

1. AI adoption is accelerating faster than prior technology waves, embedding into core operations.
2. Governance must begin immediately because AI appears via tools, vendors, and silent updates.
3. NIST AI RMF provides four functions: Govern, Map, Measure, Manage.
4. Prioritize Govern by establishing AI policy, ownership, procurement, and AI-aware change management.
5. Build and maintain an AI system inventory tied to approvals, evidence, monitoring, and reporting.
6. Fold AI risk into existing cybersecurity risk program, avoiding parallel AI risk silos.
7. Extend eight cyber-risk elements with AI-aware updates, including AI-specific KRIs and TEVV.
8. Quantitative risk measurement (e.g., Monte Carlo) beats qualitative heat maps for decision-making.
9. FS AI RMF adds concrete, auditable controls useful beyond financial services for implementation.
10. Board reporting should use dollars, expected loss reduction, and ROI, not red-yellow-green visuals.

TAKEAWAYS:

1. Publish a workable AI policy now, then iterate as AI capabilities rapidly change.
2. Treat AI as a risk dimension on existing systems, keeping one risk register and methodology.
3. Counter shadow AI by offering approved tools and a fast intake/approval path.
4. Add “accuracy” to CIA impacts to capture drift, bias, and hallucinations (CIA+A).
5. Use breach-per-record and downtime estimates as ranges to quantify AI risk financially.