From the Trenches Privacy Engineering Pitfalls Successes
summary
Team builds a program that turns policies into runnable controls, embeds them as a company controls-from-policies baseline and enforces them via repeatable privacy-by-design assessments, tooling and a public Privacy datasheet in Trust Center. Early wins target high-risk areas (WebEx, HR), shrink review cycles from months→weeks and cut escalations. Surprises include fast-moving standards (ISO 31700, IOPD) and the real risk that aggregated AI data enables re-identification with aggregated AI data, so continuous verification is required.
AI-written summary · about
chapters (13)
- 0:00Introduction
- 0:42Introducing the Panelists
- 2:20The Importance of Privacy Engineering
- 2:51Understanding Privacy Engineering
- 3:28The Role of Privacy Engineering in Product Development
- 4:00The Practical Impact of Privacy Engineering
- 4:31The Intersection of Privacy and Security
- 6:57The Process of Converting Policies into Controls
- 12:25The Challenges of Privacy Engineering
- 13:41The Successes of Privacy Engineering
- 16:32The Future of Privacy Engineering
- 30:34Advice for Aspiring Privacy Engineers
- 36:19Closing Remarks
related talks
40mExtreme Makeover: Privacy Edition
49mHow to Kick Off Privacy Engineering Within a Security Team
29mDeveloping Responsive Privacy Programs and Driving Impact
28mTurning Privacy Compliance into a Business-Enabler
28mHow Privacy Engineers Deliver ROI
28mBuild Privacy into Your Products and Gain User Trust
12mA People-First Approach to Introducing Process and Tools for Technical Privacy Review
01h 15mDATA PROTECTION ENGINEERING: WHAT IS THE ROAD AHEAD?