Episode 31 — Reduce Data Risk: Classification, Encryption, Retention, and Exfiltration Signals (Task 4)
This episode explains how to reduce data risk by combining governance decisions with practical controls that influence exposure and detection. You will learn how classification drives handling rules, why encryption must be paired with key management discipline, and how retention policies reduce the amount of sensitive data available to steal. We will discuss how data risk shows up in real incidents, including misconfigured storage, overbroad access, and stealthy exfiltration that hides inside normal traffic patterns. You will also hear what exfiltration signals look like across logs, such as unusual download volume, atypical destinations, and repeated access to sensitive records by nonstandard identities. For the exam, the emphasis is choosing controls and evidence that demonstrate data protection is intentional, enforceable, and monitored rather than purely documented. 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.
