Episode 4 — Recognize personal information precisely across systems, contexts, and data types
This episode teaches you to identify personal information accurately, even when it is fragmented across systems, transformed through analytics, or combined with other data in ways that re-create identifiability. You’ll define direct identifiers, indirect identifiers, sensitive categories, and contextual signals that make data personal in one setting but not another, which is a common CDPSE exam trap. We’ll walk through scenarios like device telemetry, location histories, customer support logs, and pseudonymous IDs, showing how linkage risk drives classification and control choices. You’ll also learn how inventory and dataflow work supports this precision, because many exam questions reward answers that tie identification to accountability, lawful basis, and specific safeguards rather than vague “protect everything” statements. 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.
