Privacy by Design for DevOps
summary
More than 140 countries have privacy laws and the average breach cost hit about $5M in 2024 so privacy is nonnegotiable; researchers reidentify 87% from zip code date of birth and gender; practical controls include k‑anonymity with k≈50 for analytics, epsilon 0.1–1 for differential privacy implemented in Node.js or local browser DP, pseudonymization and tokenization with a separate vault, homomorphic encryption preserving ~95% ML accuracy, and CI/CD gated DPI checks plus automated privacy scans.
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chapters (7)
- 0:00Introduction to Privacy by Design
- 1:04The Importance of Privacy
- 2:26Core Principles of Privacy by Design
- 3:42Anonymization and Differential Privacy
- 5:59Advanced Privacy Techniques
- 6:37Integrating Privacy into DevOps Pipelines
- 7:20Conclusion and Recap
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