Episode 52 — Advise on data life cycle policies so data governance reflects privacy reality (Task 3)
This episode focuses on advising leaders and teams on data life cycle policies so governance reflects how systems actually collect, use, share, store, and delete personal information. You’ll learn how to evaluate whether policies are actionable, enforceable, and consistent across products and platforms, and how CDPSE questions often reward answers that connect policy language to technical and operational mechanisms. We’ll cover practical policy topics like collection limits, lawful basis signals, purpose statements, retention schedules, deletion handling, third-party sharing rules, and logging constraints, then show how to validate that teams can comply without constant exceptions. You’ll work through scenarios such as a legacy system with uncontrolled copies, a new analytics pipeline, or a vendor workflow that breaks retention promises, practicing how to recommend policy changes that reduce risk while staying feasible and measurable. 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.
