Operating System
Syscalls, processes, files — the layer EDR was built to watch.
Enterprises spent $70B on endpoint, network, and identity. None of it covers the layer where the agentic workforce actually operates.
EDR guards the OS-to-app boundary — the line where system calls cross. An agent reading credentials or moving data through a sanctioned API never trips that wire. It looks like the application doing its job.
Syscalls, processes, files — the layer EDR was built to watch.
Watches the OS↔app boundary. Blind to what runs inside the application.
Human or AI — every action tied back, in real time.
Agents, skills, plugins, MCP servers, extensions, and CLIs are now first-class software running on every endpoint. The surface grew; the controls did not.
Knowing what is running is table stakes. Shadow-AI tools produce lists. Security needs to act — block, allow, or hold — at the point of action.
The only question that matters in an incident is who acted. Real-time human-vs-agent attribution turns logs into accountability.
A signature catalog cannot keep pace with a surface that changes daily. An AI-native platform learns the threat as fast as it appears.
We have no inventory of the AI agents, plugins, and MCP servers our engineers have installed. Our app control stops at signed binaries.
Our EDR was built for the OS layer. It cannot see an AI agent reading credentials or exfiltrating data through a sanctioned API.
When something breaks, we cannot answer the only question that matters. Was that action a human, or an agent operating on a human's session?
Auditors and the board want to know how we govern AI use. Shadow-AI tools show us what is running. They cannot stop a thing.
Gartner
Grant Thornton 2026
Akto Research
HiddenLayer 2026
Architecture review
Your stack reviewed by our security architects. Coverage gaps identified. Next steps clear.