MCP and The Connected AI Enterprise: Boardroom Architecture Playbook for Governed Agent Integration, Zero-Trust Identity, Vendor-Neutral Interoperability

AI can act. But can your enterprise still govern it?Model Context Protocol is changing how artificial intelligence connects to tools, enterprise data, applications, and business processes. Yet connection without control introduces a new generation of security, governance, and operational risks.MCP and the Connected AI Enterprise is a practical boardroom and architecture playbook for organizations preparing to move from isolated AI experiments to governed, enterprise-scale agent integration.This book explains how to build an environment in which capabilities, identities, policies, transactions, and evidence remain connected from intention to outcome.Inside, you will learn how to: - Understand MCP and its relationship to APIs, integration platforms, and enterprise architecture - Separate technical abstraction from business authority - Design zero-trust identity for AI agents, users, tools, and workloads - Establish discovery, invocation, execution, result, and evidence boundaries - Create deterministic integration and policy enforcement layers - Preserve provenance, traceability, and accountability across agent actions - Prevent uncontrolled tool access and unsafe autonomous execution - Reduce vendor lock-in through interoperable architecture - Build a practical operating model for governed enterprise AIDesigned for board members, CIOs, CTOs, CISOs, enterprise architects, platform leaders, developers, and AI delivery teams, this book connects strategic governance with implementation reality.Turn MCP from a technical interface into a trusted enterprise capability-and build an AI operating environment that can scale without surrendering control.