Last updated: April 29, 2026
An Indian healthtech wanted to publish anonymised research data — patient records with names removed but dates, ages, PIN codes retained. The privacy engineer ran a re-identification analysis: 87% of records were uniquely identifiable from those three fields alone. Sweeney’s seminal research on US data showed similar; her techniques apply to Indian datasets. They didn’t publish. This module covers privacy engineering — the technical discipline of making data actually anonymous (or accepting that it isn’t).
What privacy engineering is
Privacy engineering is the technical practice of building systems that protect personal data by design. Beyond policy and consent — the actual data structures, algorithms, and architectures.
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