Episode 57 — Identify and assess privacy threats and vulnerabilities with repeatable rigor (Task 8)
This episode teaches a repeatable method for identifying and assessing privacy threats and vulnerabilities so your conclusions are defensible, consistent, and actionable across teams and systems. You’ll learn how to define privacy threats in terms of harm pathways, such as unauthorized access, unintended disclosure, re-identification, inference, over-collection, and secondary use, and then map those threats to vulnerabilities like weak IAM, uncontrolled exports, verbose logging, missing retention enforcement, and fragile vendor integrations. We’ll walk through scenarios like data pipelines that replicate identifiers widely, support tools that expose customer history, and analytics SDKs that share data before consent checks apply, practicing how to prioritize based on likelihood, impact, and exposure surface. You’ll also learn what strong outputs look like for CDPSE, including documented assumptions, evidence references, recommended controls, and monitoring plans that confirm risk stays reduced after changes ship. 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.
