"A Big Deal": How Privacy Engineering Can Streamline the M&A Process
summary
Privacy M&A integrates hands‑on privacy engineering with ML and generative tools to speed pre‑close and post‑close assessments, finding concrete issues like 53% of BigQuery tables with lax restrictions. Workflows emphasize consent, logged temporary access, retention and data minimization (example: third‑party customer support agents). Deliverables are prescriptive checklists, reviewed design docs, and prioritized remediation tasks; surveys report clearer expectations, actionable design reviews, and faster launch readiness.
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chapters (9)
- 0:00Privacy engineering in M&A
- 2:54Evolution of privacy mitigation
- 5:25Privacy challenges in acquisitions
- 8:52Privacy by design principles
- 10:42Risk management collaboration
- 13:10Pre-close and post-close mitigation
- 15:14Privacy mitigation example
- 16:40Privacy M&A team impact
- 18:29Hands-on privacy engineering
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