Why MCP server security is critical for AI-driven enterprises

This briefing warns that Model Context Protocol (MCP) servers—connective infrastructure for agentic AI—have become a high-risk attack surface enabling LLMjacking and large-scale data exposures (e.g., millions of chat logs and leaked API keys). It documents real-world instances of misuse, explains why legacy security models fail against prompt injection and broad authorization, and prescribes four strategic pillars for defense: strong authentication and credential rotation, hardened input validation and prompt controls, granular authorization and context isolation, and continuous oversight with AI literacy across the organization.