Operationalizing Data In Support Of Privacy Regulations
summary
BigID scans across on‑prem and cloud systems, creating a metadata index rather than copying data and using the four C's: catalog, classification, clustering, correlation plus machine learning to find personal and sensitive attributes. It claims a self‑updating PI inventory, automated GDPR subject access and deletion workflows within 30 days, consent and cookie preference management, retention policy automation, and integrations with governance and security tools. Demos are available and the product ships SaaS or on‑prem.
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chapters (18)
- 0:00Introduction and agenda
- 1:02Data management challenges
- 3:10Regulations and compliance
- 5:18Modern data landscapes
- 6:22BigID solution overview
- 8:10Data discovery techniques
- 10:59Machine learning in data discovery
- 12:22Privacy applications suite
- 14:09Records of processing activity
- 16:19Consent and preferences
- 17:43Data-first approach benefits
- 18:49Key use cases explained
- 21:16Dashboard and data insights
- 23:05ROPA and assessments
- 24:51Privacy portal and automation
- 26:19Cookie and consent management
- 27:42Partnerships and integrations
- 28:03Closing and Q&A
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