Episode 79 — Discovering sensitive data: classify what matters and reduce unknown data sprawl
This episode focuses on data discovery as the starting point for meaningful protection, because you cannot secure what you do not know exists, and the GCLD exam expects you to connect classification to practical control decisions. You’ll define sensitive data in operational terms, then learn how classification establishes priorities for encryption, access restrictions, monitoring, and retention. We’ll discuss why data sprawl happens in cloud—easy copying, fast experimentation, duplicated datasets, and logs or exports left behind—and how that sprawl increases breach impact and complicates incident response. You’ll also explore governance tactics such as assigning ownership, requiring labeling or tagging, and setting rules that prevent sensitive data from being stored in inappropriate locations without approvals. The outcome is an evidence-driven program where sensitive data is identified, tracked, and reduced over time instead of expanding silently. 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.
