Data Privacy and Security by Design
summary
Claims that three to five data points can reidentify over 80% of people and that privacy staffing has grown ~200% drive a pragmatic checklist: perform a full data inventory, run privacy impact assessments, map data flows and retention, and apply de‑identification like encryption hashing salting, anonymization and aggregation. Operationalized at LiveRamp by assigning a data‑ethics lead to each product and embedding privacy through the product lifecycle, plus PIAs, which the company reports as effective for reducing risk and demonstrating CCPA/GDPR compliance.
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chapters (9)
- 0:00Introduction and welcome
- 1:05Why privacy matters now
- 5:38Data proliferation and legislation
- 10:16Consumer sentiment and trust
- 17:01Privacy by design framework
- 21:13Privacy vs security vs ethics
- 26:31Building a privacy program
- 34:20LiveRamp’s real-world approach
- 36:47Key takeaways and Q&A
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