Episode 84 — Data Loss Prevention: Endpoints, Network, and Cloud
Data Loss Prevention (DLP) combines technology and policy to stop sensitive information from leaving where it belongs. This episode introduces the core DLP models—endpoint, network, and cloud—and how they monitor and control data in motion, in use, and at rest. You’ll learn how pattern matching, fingerprinting, and contextual rules detect violations such as unencrypted uploads or unauthorized transfers. The discussion also clarifies how DLP integrates with classification systems and identity-based policies to enforce consistent rules across devices and services.
Listeners will hear practical examples like detecting credit card numbers in outbound traffic, blocking clipboard actions on workstations, or preventing public sharing of regulated files in SaaS platforms. We also address challenges like balancing privacy, false positives, and user productivity. The episode demonstrates that effective DLP is less about restriction and more about governance—ensuring visibility, accountability, and control over how data moves in every environment. 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.
