Description

⚠️ AI Vendors Introduce Unique Risks

Traditional vendor risk frameworks don’t cover AI-specific concerns like model drift, bias liability, and hallucination incidents.

This framework addresses the risks others miss:

Operational Risks

Model drift and performance degradation

Integration failures

Scalability limitations

Latency issues

Compliance Risks

GDPR violations

EU AI Act classification

Bias liability

Data sovereignty

Reputational Risks

AI hallucination incidents

Bias events

Privacy breaches

Ethical concerns

What’s Included

✅ 5 Risk Categories – Operational, Compliance, Financial, Strategic, Reputational

✅ 25+ Risk Indicators – AI-specific risks to assess

✅ Likelihood × Impact Scoring – Quantify risk severity

✅ Risk Severity Classification – Low/Medium/High/Critical

✅ NIST AI RMF Mapping – GOVERN, MAP, MEASURE, MANAGE functions

✅ Risk Assessment Worksheets – Document and score risks

✅ Mitigation Guidance – What to require for each risk level

Who This Is For

Risk management professionals

Compliance officers

Procurement teams

Legal departments reviewing AI contracts