Episode 87 — Evaluate AI vendors and supply chain controls where your visibility ends (Task 10)
This episode explains how to evaluate AI vendors and supply chain controls when your visibility ends at the contract boundary, because Task 10 often tests whether you can demand accountability and evidence without assuming you can “audit the vendor’s code.” You’ll learn how to assess vendor risk by focusing on what the vendor provides—models, data, tooling, hosting, or APIs—and what that means for data handling, model behavior, monitoring responsibilities, and incident response. We’ll cover practical controls such as due diligence questionnaires tailored to AI, defined security and privacy obligations, audit rights where feasible, clear service-level commitments, and requirements for transparency on model updates that change outcomes. You’ll also learn how to evaluate integration risk, including how keys are managed, how logs are shared, and how the organization supervises outputs when the model is effectively a black box. By the end, you should be able to choose exam answers that reduce vendor risk through enforceable controls and evidence, not through trust or vague “vendor assurance.” Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
