📗 Your Arch-Nemesis is a Data Scientist: What's the Difference Between Security and Privacy Work? ⚖️
summary
Privacy focuses on purpose and use not just confidentiality, and the real adversary is often data scientists as adversary who reidentify or retain data; scanners that hunt PII fail, so teams must upgrade the data catalog with row‑ and column‑level metadata, propagate user IDs and timestamps everywhere, model purpose in access controls (roles or attribute‑based access control), filter out children/unconsenting rows, and implement 100% irrevocable deletion (including retraining or disposing of models as regulators require, e.g., the Weight Watchers precedent).
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chapters (10)
- 0:00Introduction and speaker intro
- 1:24Core concepts of privacy
- 6:06Key differences security vs privacy
- 9:20Data inventory challenges
- 13:57Legal frameworks and limitations
- 16:07Practical privacy integration tips
- 21:04Data deletion and retention
- 22:47Data subject access requests
- 24:15Summary of differences
- 26:02Q&A session
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