Security Risks Of Model Context Protocol: What CISOs Need To Know Before Connecting AI To Enterprise Data
Veeam, Thursday, February 19th, 2026
In this blog post, we'll break down what MCP is, where the attack surface really sits, and the practical controls CISOs should prioritize. We'll start with threat modeling, then move into access control, monitoring, and resilience so you can adopt MCP without expanding risk beyond what you can manage.
TL;DR
- Model Context Protocol (MCP) is a standard way for an AI app/agent to access tools, resources, and prompts exposed by an MCP server.
- The big new security risk MCP brings into the enterprise model is prompt injection/context manipulation that can steer an agent into unsafe tool use (including unintended access or data exfiltration).
- Many other risks (e.g., token theft or server compromise) are real, but they're largely standard distributed service/API security problems you already know how to mitigate.
Model Context Protocol (MCP) is getting attention because it makes it easier to connect AI assistants and agents to the systems where work actually happens: APIs, SaaS platforms, operational tools, and internal data sources. From a security perspective, that convenience changes the game. Once an agent can call tools, a single prompt can trigger a chain of actions across multiple systems.