This episode closes the series by focusing on preventing privacy regressions through disciplined code review and runtime monitoring, because CIPT scenarios often assume that privacy commitments can fail quietly after release if nobody is watching. We define a privacy regression as any change that causes the system to collect more than intended, share data beyond approved recipients, retain longer than allowed, weaken access controls, or ignore user preferences. You will learn how to incorporate privacy checks into code review by verifying data handling logic, validating that new fields and events are justified, confirming that consent gates are enforced, and ensuring that logging does not capture sensitive content unnecessarily. We also cover runtime monitoring practices that detect drift, including auditing access patterns, monitoring outbound data flows to vendors, verifying retention and deletion jobs, and setting alerts for anomalies like sudden increases in data volume or new endpoints that expose personal data. Troubleshooting includes handling microservices where ownership is fragmented, managing third-party SDK updates that change behavior, and responding when monitoring reveals unexpected processing that contradicts notices or policies. By the end, you will be able to select exam answers that demonstrate a mature, continuous approach to privacy engineering, where privacy is validated before and after deployment with evidence and accountability. 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.