Episode 2 — Understand how AAISM questions map to real AI security work (Tasks 1–22)
This episode explains how AAISM questions mirror real AI security work by testing whether you can connect governance decisions, risk assessments, and control evidence to a specific AI use case, rather than treating AI as a separate “special” security universe. You’ll learn to spot the exam’s recurring pattern: identify the AI asset and lifecycle phase, determine the accountable role, select the right task-driven action, and choose the option that produces defensible evidence for audit, contracts, or regulators. We’ll use scenarios like a new vendor LLM feature, a model update that changes outputs, and an incident involving prompt leakage to practice mapping each situation to the most relevant tasks, including impact assessment, inventory discipline, monitoring, and response. The goal is to make every question feel like a familiar operational decision you’ve already rehearsed in plain language. 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.
