Enterprises are deploying AI agents at scale, and those agents are taking real business actions. Through LLMs, MCP servers, and APIs, they move money, access patient records, modify code, and send emails. The attack surface has fundamentally shifted, but most security programs are still focused on what an AI says rather than what it does.
The blind spot is dangerous. Existing LLM security tools address prompt injection and model-level threats, but leave the full agentic path unprotected. A compromised or manipulated agent can cause irreversible damage at machine speed, and no single-layer solution can stop it.
