AI agents are quickly moving from demos to real-world execution.
They now:
• Access tools
• Trigger workflows
• Read internal systems
• Make decisions
• Interact with external APIs
• Operate autonomously
That changes the security model entirely.
The challenge is no longer just:
“What does the AI say?”
It’s now:
“What can the AI do?”
That’s why we built LangProtect Vector.
Vector acts as a security gateway for AI agents and MCP workflows by monitoring tool calls, prompts, permissions, and autonomous actions in real time.
The goal is to help organizations safely scale agentic AI while maintaining visibility, governance, and control.
Feels like AI agent security is about to become its own category very soon.