Episode 50 — Assign AI risk owners and approvals so accountability is never unclear (Task 4)
This episode teaches how to assign AI risk owners and approval authority so accountability cannot be disputed, which AAISM tests by asking who should accept risk, who should implement controls, and who should verify effectiveness. You will learn how to define ownership for different risk types, including data risks, model-behavior risks, deployment and access risks, and third-party risks, and how to set approval thresholds for high-impact changes and exceptions. We walk through scenarios like approving a new training dataset, relaxing output guardrails, or onboarding a vendor, showing how ownership determines decision speed and audit defensibility. Troubleshooting focuses on failure modes such as “everyone owns it,” approvals without criteria, and security teams being forced into business risk acceptance, all of which create weak governance and fragile outcomes during incidents. 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.
