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AI-enabled vendors introduce new categories of risk for compliance teams — from opaque model behavior to unclear data flows to overpromised capabilities. This session helps nontechnical compliance leaders evaluate AI vendor claims with confidence. We broke down the practical steps for reviewing AI-driven tools, red flags to look for in contracts, and how to design a defensible vendor oversight process even without engineering expertise. Real examples will illustrate how to separate meaningful risk signals from marketing noise. By the end of this session, participants will be able to: Apply a risk-based framework for evaluating AI vendors, including data handling, governance, security, and reliability. Develop due diligence questions and contract expectations that clearly document responsibilities and AI-related risk controls. Identify common red flags in “powered by AI” tools that may create ethical, legal, or operational risks for compliance programs.