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Public Sector

Mission-ready AI governance.

Govern AI use across sensitive environments with attribution, audit, and enforcement that meets the bar.

The challenge

What stands in the way.

01

High assurance

Sensitive environments demand provable control.

02

Air-gapped & edge

Coverage required where connectivity is constrained.

03

Accountability

Every action must be attributable to a human or agent.

How Neo helps

Discovery and control, in one core.

Neo inventories every agent, plugin, and MCP server, attributes every action to a human or agent, and enforces policy at the point of action — across managed and unmanaged endpoints.

The machine

Operating System

Syscalls, processes, files — the layer EDR was built to watch.

Coverage stops here

EDR

Watches the OS↔app boundary. Blind to what runs inside the application.

Neo · sees inside

The Application

  • AI Agents
  • MCP · Plugins
  • Skills · Extensions
Neo · attributes

The Actors

Human or AI — every action tied back, in real time.

EDR One interface.
The OS-to-app boundary, where system calls cross. By design.
Neo Everything inside the application,
plus the actors driving it. Where agents, plugins, and extensions now live.
The software stack from the operating system outward. EDR coverage stops at the operating-system-to-application boundary. Neo covers everything inside the application — agents, plugins, skills and MCP servers — plus the human and AI actors driving them.
Outcomes

What good looks like.

01
Provable control for auditors
02
Coverage at the edge
03
Full action attribution

Get started

Put NEO to work on your hardest problem.

Bring a use case. We will show you a working loop on your data in the first session.