Episode 18 — Essential Terms: Plain-Language Glossary for fast, accurate recall (Tasks 1–22)
This episode strengthens your exam performance by tightening your definitions in plain language, because AAISM frequently tests whether you can distinguish similar governance, risk, and AI security terms under time pressure across Tasks 1–22. You’ll reinforce high-confusion term pairs such as policy versus standard, risk identification versus risk assessment, monitoring versus testing, incident containment versus eradication, and inventory versus classification, then connect them to AI-specific concepts like prompts, inference logs, embeddings, drift, and model updates. We’ll practice turning dense option text into simple meaning so you can identify what a question is actually asking: who owns the decision, what evidence is required, and what lifecycle phase is affected. Real-world examples include defining what counts as an AI asset in inventory, what constitutes a control objective for monitoring, and how “conformity” differs from “best practice” in a regulated context. 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.
