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Resource | Third-Party Risk

Vendor AI Risk

A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
PDF · Compliance Guide · 8 Pages · 2026 Edition
30%
of breaches now involve a third party; the share doubled in a single year.
Verizon · 2025 Data Breach Investigations Report
WHAT’S INSIDE

The Product You Assessed Is Not the Product You Run

A platform procured three years ago adds an AI assistant; a CRM begins routing customer records through a third-party model provider. Each change alters where data flows and who processes it, and none of them resembles a procurement event that would invoke vendor review.
This guide defines the exposure, specifies the seven questions a vendor AI assessment must answer, and presents a five-step roadmap aligned to the ARISE Framework™. IBM’s 2025 breach research found that supply chain compromise accounted for 30 percent of security incidents involving AI models or applications.
Seven assessment dimensions. The questions a defensible vendor AI assessment must answer, in order: disclosure, data flow, training use, model provenance, security of the AI layer, human oversight, and exit.
Four failure patterns. Why existing third-party risk programs miss vendor AI: questionnaires that predate the risk, event-based assessment of a continuous exposure, invisible fourth parties, and tiering that ignores decision impact.
Appendix A question set. The twelve-question vendor AI assessment Assessed Intelligence applies in vendor review engagements, ready to send to vendors or append to an existing questionnaire.
Appendix A question set. The twelve-question vendor AI assessment Assessed Intelligence applies in vendor review engagements, ready to send to vendors or append to an existing questionnaire.

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