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Financial Services

Govern AI in regulated workflows.

Bring every agent, copilot, and plugin under board-ready governance — with the attribution and audit trail regulators expect.

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The challenge

What stands in the way.

01

Regulatory scrutiny

Auditors want proof of control over AI use, not a discovery report.

02

Sensitive data everywhere

Agents touching secrets, PII, and source need enforceable guardrails.

03

Unmanaged access

Contractors and BYOD endpoints fall outside traditional controls.

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
100% of AI agents under policy
02
Board-ready audit trail
03
Enforcement on secrets and PII

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.

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