Episode 23 — Classify data properly to drive the right privacy safeguards (Domain 2C-3 Data Classification)
This episode focuses on data classification as a decision tool that drives safeguards, access rules, retention, and sharing controls, not as a label exercise. You’ll learn how privacy classification differs from security-only classification by emphasizing identifiability, sensitivity, context, and potential harm, including re-identification and inference risk. We’ll cover practical classification methods that work across structured and unstructured data, and we’ll walk through examples like telemetry, chat logs, biometrics, health-related attributes, and financial signals to show how classification choices change control requirements. You’ll also practice exam-style situations where data is partially masked, tokenized, or aggregated, and you’ll learn how to choose answers that prioritize defensible criteria, consistent application, and measurable control enforcement. 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.
