A complete practical reference guide to Autonomous Data Governance

Modern enterprise AI demands that data context, lineage, security rules, and quality metrics are delivered programmatically to both human engineers and machine agents at execution runtime.

This book provides the definitive enterprise solution: Agentic Data Governance. By synthesizing traditional risk management frameworks (DAMA-DMBOK, DCAM, COBIT) with cloud-native automation standards (CDMC), active metadata architectures, Model Context Protocols (MCP), and programmatic AI crews, governance transitions from a passive policy binder into a live, automated control plane.

Amazon Standard Identification Number (ASIN) : B0HC8PB5PM