Designing a Scalable Data Governance Framework
summary
Scalable multi-tenant governance delivers concrete artifacts: role-level security in a shared environment, dedicated encryption keys per tenant plus ownership metadata for dynamic policies, a continuously running automated compliance engine that detects, remediates and records actions, layered protections (MFA, masking, tokenization, transport and at‑rest encryption) and jurisdictional data routing. Measured outcomes claim a 40% drop in compliance violations, ~30% efficiency gain, ~65% shorter audit cycles and 99.9% uptime after phased rollout.
AI-written summary · about
chapters (11)
- 0:00Introduction and Speaker Background
- 0:30Core Challenges in Data Governance
- 1:41Framework Structure and Key Pillars
- 2:15Data Isolation Strategies
- 2:55Automated Compliance Engine
- 3:38Layered Security Model
- 4:18Global Operational Flexibility
- 4:51Comprehensive Audit Capabilities
- 5:30Post-Implementation Results
- 6:06Implementation Roadmap
- 6:53Key Takeaways and Conclusion
related talks
25mGovernance Suite for Scalable AI Platforms
12mAI Data Governance for Scalable Compliance in Modern Banking
09mData-Driven Identity Governance for Modern Infrastructure
57mBest practices for cloud governance at scale
23mScalable security: how to win friends and not burn...
59mBeyond the scripts: Governance automation master class
12mBuilding Resilient AI: A Framework for Enterprise Security
43mTitans of Scale: Strategies to Scale Security in Expanding Organizations