What Is an AI Risk Assessment?
An AI risk assessment helps organizations identify, score, and mitigate risks associated with AI usage.
This is a key requirement under frameworks like SR 11-7 and NIST AI RMF.
What a Proper Assessment Includes
- Use case identification
- Data sensitivity classification
- Business impact scoring
- Risk tiering (low, medium, high)
- Mitigation controls
Common Mistakes to Avoid
- Treating AI as "low risk" by default
- Not documenting decisions
- No consistent scoring model
Regulators expect documented, repeatable risk decisions — not one-off assessments.
Use a Pre-Built Risk Workbook
A structured, Excel-based scoring model that makes AI risk assessment repeatable and audit-ready.
✓ Excel-based scoring model✓ Risk categorization✓ Audit-ready documentation✓ Mitigation guidance
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