Episode 12 — Manage Third-Party AI Risk Through Assessments, Contracts, Procurement, and Acceptable Use
This episode focuses on third-party AI risk, which becomes critical when organizations buy, license, or embed tools they did not build themselves. You will examine how procurement reviews, vendor assessments, contract terms, and acceptable use rules help control risks involving data handling, model transparency, security testing, retraining practices, subprocessors, and responsibility for failures. The AIGP exam may test whether you can identify the right governance response when a vendor promises powerful capability but offers weak documentation, vague liability language, or limited information about training data and monitoring. The episode also explains why organizations cannot outsource accountability simply because they outsource development. In practice, a third-party tool can still create legal, privacy, fairness, and operational exposure for the deploying organization, especially if it is used in hiring, consumer interactions, or regulated decisions. Strong governance means asking hard questions before purchase, negotiating terms that support oversight, and setting clear internal limits on how employees may use external AI services. 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. And dont forget Cyberauthor.me for the companion study guide and flash cards!
