As enterprises accelerate adoption of AI agents, a new architectural layer is rapidly gaining importance: Model Context Protocol (MCP) and agent‑to‑tool communication frameworks.
These protocols allow AI agents to interact with external tools, APIs, databases, and services — effectively turning large language models into actionable systems capable of executing real workflows.
But recent security discussions and emerging research highlight a growing concern: MCP layers are becoming a primary attack surface for enterprise AI systems.