Privacy Engineering: Build Privacy into Your Product
Privacy Engineering, Governance & Compliance: leave with a data inventory, privacy impact assessment, retention/deletion jobs and pseudonymization example.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why privacy engineering, governance & compliance matters — the common problem: Apps collect and keep far more personal data than they need, with no deletion path.
- 2Core concepts in plain language: Data classification, data minimization, consent management, retention, deletion, pseudonymization
- 3Going further: privacy impact assessments, control mapping, audit evidence, third-party risk, policy management, regulatory-change tracking
- 4Framework walkthrough: STRIDE Threat Modeling, OWASP Top 10, NIST Cybersecurity Framework, Zero Trust
- 5Practical workflow, built live: A data inventory, privacy impact assessment, retention/deletion jobs and pseudonymization example.
- 6How to measure it: Open critical vulnerabilities, Time to patch, Mean time to detect, Control coverage
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Students and freshers entering tech
- • Working developers and engineers
- • Tech leads and architects
You'd leave with
- A data inventory, privacy impact assessment, retention/deletion jobs and pseudonymization example.
- A working understanding of STRIDE Threat Modeling and OWASP Top 10
- A short list of measures to track: Open critical vulnerabilities, Time to patch, Mean time to detect
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