Episode 52 — Assess AI threats by likelihood and impact, not hype and fear (Task 5)
This episode focuses on Task 5 by teaching you to assess AI threats using likelihood and impact rather than hype, because AAISM questions often include distractors that overreact to novel terminology while ignoring practical risk drivers. You’ll learn how to evaluate whether a threat is credible in your environment by examining access paths, data sensitivity, control strength, user behavior, vendor constraints, and how quickly failures could spread across business processes. We’ll apply this to scenarios like a public-facing chatbot, an internal assistant connected to sensitive repositories, and a model hosted by a third party with limited logging, showing how the same threat can be high or low risk depending on context. Best practices include documenting assumptions, using consistent scoring language that leadership understands, and selecting treatments proportional to risk, so the exam “best answer” is the one that is defensible and operationally achievable. 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.
