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Privacy Engineering
Privacy
Engineering discipline applying privacy principles through architecture, controls, and verification.
Definition
Privacy engineering turns privacy principles into implementable requirements: data minimization, access control, encryption, logging, retention automation, and testing. It also includes DPIAs, threat modeling, and measurable privacy controls.
In plain English
Engineering discipline applying privacy principles through architecture, controls, and verification.
Why this matters
Why it matters: Engineering decisions determine real exposure and compliance; systematic approaches reduce incidents.
Example
Example: Build a data inventory, implement privacy-safe defaults, verify deletion propagation, and audit third-party data flows.