Episode 78 — Choose AI testing methods that match the risk of the use case (Domain 2E)
This episode teaches you how to choose testing methods that match use-case risk, because Domain 2E expects you to scale testing depth based on impact, not apply a one-size-fits-all checklist. You’ll learn how high-impact decisions demand deeper validation, broader scenario coverage, stronger segment analysis, and stricter acceptance thresholds, while lower-impact decisions can use lighter-weight testing with clear monitoring and escalation safeguards. We’ll cover method selection in practical terms, such as when to use holdout validation, stress and adversarial testing, out-of-distribution checks, human review sampling, and post-deployment shadow testing before full automation. You’ll also learn how to justify testing choices with governance language, linking methods to risk appetite, ethical constraints, privacy exposure, and the organization’s ability to supervise outcomes in production. By the end, you should be able to answer exam scenarios by selecting the testing approach that is proportional, auditable, and operationally realistic. 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.
