Lessons Drawn From Cybersecurity In The Rise of Privacy Tech
summary
Privacy tech today mostly automates legal workflows but the real opportunities are developer-facing: shift left into development with tools that scan entire code history, data mapping that reads code history to auto-identify where personal data lives, and scan for APIs exposing PII. The panel argues for embedding privacy in design, using homomorphic encryption/ML-assisted checks, leveraging much larger security budgets (often 10–100x higher), and earning credibility by operationalizing accountability rather than selling slogans.
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chapters (9)
- 0:00Start
- 0:09Speaker Introductions
- 2:01Melanie Ensign
- 6:40Security versus Privacy
- 8:07Sustainability
- 9:59What Is Privacy Tech
- 10:33What Is What Is Privacy Tech
- 32:51How the Privacy Tech Landscape Can Do Better When It Comes to Selling or Marketing Privacy Products
- 37:19Getting Embedded
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