Every enterprise racing to deploy Agentic AI is making an infrastructure decision it may not recognize as one. When an AI agent connects to internal systems and proprietary content, the protocol governing that connection determines whether the enterprise controls the terms of access or cedes them by default. Model Context Protocol (MCP) has become the standard linking agents to backend data and tools, and it is spreading through corporate technology stacks faster than the governance frameworks meant to secure it. For CIOs and CISOs, this stopped being a developer tooling question months ago. It is now a sovereignty question: who defines the boundary between an AI agent and a company's proprietary intelligence. The MCP Adoption Security Gap Gartner projects that by 2028, 25 percent of all enterprise Generative AI (GenAI) applications will experience at least five minor security incidents per year, up from 9 percent in 2025. That trajectory tracks closely with how fast MCP has been ...
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