Episode 37 — Map data flows to understand processing, sharing, storage, and transfer points
This episode teaches how to map data flows so you can see how personal data moves through collection, processing, storage, sharing, and transfer, because CIPM questions often require you to reason about risk and controls across the full journey. You will learn the core elements of a data flow map, including actors, systems, interfaces, data elements, purposes, and transfer points, and how to represent both routine processing and exception paths like manual exports and ad hoc reporting. We discuss how data flow mapping supports privacy by design, vendor oversight, retention enforcement, and incident response, especially when you need to identify where data might be exposed or replicated. Practical examples include mobile apps with embedded SDKs, cloud architectures with multi-region replication, and support workflows that copy data into ticketing systems. Troubleshooting guidance addresses missing undocumented integrations, conflicting system diagrams, and how to keep maps current without turning them into an unmaintainable art project. 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.
