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AI control starts at the endpoint. It doesn't stop there.

Agents act with each person's access: on the laptop, in every SaaS app they sign into, and in the cloud where they're deployed. Neo sees what every agent can reach, cuts the access it doesn’t need, and decides each action: allow, ask or block.

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Claude Code on one laptop can reach five things: the Gmail MCP server, external recipients through it, an unsigned MCP server, the payments repository and, through the repository, production. Neo makes the Gmail MCP server read-only for coding agents, blocks the unsigned MCP server, and makes every push wait for a person’s approval, which takes production out of the agent’s own reach. Two stay in reach: the Gmail MCP server, read-only, and the repository. Production is reached only through a push a person approves.

WHAT ONE AGENT CAN REACH

The problem with AI sprawl.

AI agents now act with each employee's access. They read files, run code, and send data. Three challenges come with them, and Neo answers all three from one place.

  1. The problem

    Agents nobody can list

    Application and Agent Control

    The challenge

    Few teams can say which agents run on their fleet, what each one can reach, or what it did yesterday. Agents act with the employee's own access, so most tools see the employee.

    How Neo solves it

    Neo inventories every AI app, agent, and MCP server on each device, scopes what each can touch, and decides each action before it runs.

    See the use case

  2. The problem

    A supply chain too big to review

    AI Software Supply Chain

    The challenge

    MCP servers, skills, subagents, plugins, and extensions arrive faster than anyone can review them, and apps you already approved ship new AI features without a review.

    How Neo solves it

    Neoverse checks every extension, package, skill, and MCP server before it runs, and Neo blocks a hijacked or malicious release fleet-wide.

    See the use case

  3. The problem

    No control point for sensitive data

    AI Data Protection

    The challenge

    Code, keys, and customer data reach AI through prompts, pastes, uploads, and agent reads, and some tools train on what they receive. No single control covers every path.

    How Neo solves it

    Neo inspects data on the device before it reaches an AI tool, stops it or points the person to the approved tool, and flags tools set to train on your data.

    See the use case
View all nine use cases

Three approaches

Three ways to secure AI. Only one sees all of it.

Comparison reflects typical deployments. Capabilities vary by vendor and configuration.

Gateways Proxies, SSE, MCP and API gateways Agentless API and posture tools connected to SaaS and cloud accounts Neo On the endpoint and inside each tool, plus SaaS apps and cloud deployments
Coverage area Web traffic and the MCP and API calls routed through it Sanctioned SaaS and cloud accounts, through each one’s API All software on every endpoint, AI or not, plus SaaS apps and cloud deployments
AI embedded in existing software Only as the app’s own traffic, when routed through it Only its settings, in the SaaS apps it connects to
Local agents, MCP servers, skills, and browser extensions Only calls routed through it, not servers on the laptop Only installed apps an MDM or EDR reports to it, not what loads inside them
Tamper resistance On the routed path only; traffic sent around it is unseen Nothing on the device to remove; what agents do there is unseen On managed endpoints its hooks keep running if switched off, and come back if deleted
Enforcement Inline, on routed traffic After the fact, through the API: a setting changed or a grant revoked Before the action runs: at the tool call in tools with a Neo connector, at launch for the rest
Best for Filtering web traffic and brokering remote MCP servers Auditing sanctioned SaaS and cloud AI and its permissions Full AI inventory and runtime control across endpoints, SaaS, and cloud

Keep your security stack. Cover all of AI with one tool.

For AI, you don't need a gateway for one slice, a posture tool for another, and a browser add-on for a third. Neo follows the agent inside each tool on the endpoint and into the SaaS apps and cloud deployments it acts through: one product and one policy for all AI security and control.

A security stack drawn as layers, from the network down to the endpoint: the prompt or API layer sees what is said to the model; an AI proxy sees the AI traffic on the routed path; an MCP gateway sees the MCP calls routed through it. Beside an empty slot at the bottom of the stack stands an AI agent. Neo slides into that slot as a new layer inside the tool, in user land with no kernel component: it sees the agent's actions and decides before they run. Then the three layers above it grey out, and each one's label changes to “Covered by Neo.”

You already run the security tools. Here’s what they miss about agents.

Three objections we hear from security teams, and three straight answers.

  1. 01 I don’t want yet another agent.
  2. 02 My AI gateway sees every agent call.
  3. 03 I was going to buy an agentless tool.

01

“I don’t want yet another agent.”

What it sees
The agents you already run, EDR and MDM, see every process, file, connection, and installed app on the device.
Where it stops
At the process. They see the command, not whether a person or an AI agent ran it, or which tool call it came from.
With Neo
Neo Node adds the missing agent context. It deploys through the MDM you already run, with no kernel module and no reboot, and decides each agent action with allow, ask, or block.

EDR records one process: git push origin main, for User #1. Neo draws the chain above that same process: the person, User #1; the agent, Claude Code; the tool call, Bash; then the process. The record gains its agent context.

02

“My AI gateway sees every agent call.”

What it sees
Every prompt, model call, and MCP or API call an agent sends through it, with the full content of each.
Where it stops
At what is routed to it. An agent's own file and shell tools, a local MCP server, and an extension never pass through it, and an agent set up without it is never seen at all.
With Neo
You don't need a separate AI gateway. Neo works inside the agent on every endpoint and connects to your SaaS and cloud, so one product sees and decides every action before it runs, routed or not, online or off.

An agent on a laptop makes four calls. Three stay on the laptop: an SSH key read, a secrets file read and a folder deletion. One leaves for an API and passes the gateway. The gateway sees one of the four; Neo decides on all four at the tool call, on the laptop.

03

“I was going to buy an agentless tool.”

What it sees
Sanctioned SaaS AI apps, cloud accounts and their permissions, through each one’s API, plus what your EDR or MDM already report.
Where it stops
At the API. Local agents, MCP servers, skills, extensions and the AI inside existing software live on the laptop, where no API reaches them.
With Neo
Neo connects to the same SaaS and cloud accounts an agentless tool does, then covers what no API reaches: the laptop. It installs through the MDM you already run, with no kernel module and no reboot. One product, one policy, instead of two.

Above the line, three sanctioned SaaS AI apps that an agentless tool reads through their APIs. Below it, the laptop, where Neo Node reads what never crosses the network: an agent, its MCP servers, skills and extensions, and a local model.

How Neo is different

How Neo works, from the endpoint out, and what it means for you.

01

See inside each app, and what it can reach.

Neo finds every AI component on the device, including the ones that never make a network call, plus the AI apps and agents in your SaaS and cloud accounts, and maps what each agent can reach, from local credentials to production.

WHAT IT MEANS FOR YOU

Know every AI tool on every laptop, SaaS app, and cloud account, and what each can touch.

MDM lists one installed application, Claude Code. Inside it Neo sees the agent, its model, four MCP servers, nine skills and two plugins: 17 actors.

02

Tell the person from the agent, action by action.

Two commands can look the same to the process view. Neo ties each action to the person who typed it or the agent that ran it, and to the tool, extension, MCP server, or SaaS app it went through.

WHAT IT MEANS FOR YOU

Know whether a person or an agent did it. Every time.

The process view records the same command twice: git push origin fix/ledger-rounding, for User #1. Neo separates them: the first was typed by User #1 in the shell, the second ran through Claude Code’s Bash tool.

03

Decide before the tool call runs.

Neo decides inside the agent, at the moment it calls a tool, before anything runs, and applies the same policy to agents hosted in the cloud.

WHAT IT MEANS FOR YOU

Stop a risky action before it runs, not after.

Claude Code makes three tool calls. At the tool call Neo allows a commit to the workspace, asks a named approver before a push to main, and blocks a read of an SSH key.

04

Allow what you approved. Block the rest.

Neo inventories all software on the endpoint, not just AI, and can block any of it. Name what may run, and Neo Node blocks the rest, down to which account is signed in.

WHAT IT MEANS FOR YOU

Run only the software and AI accounts you approved.

One policy, Allowed Software, with default deny. Microsoft Excel runs. QuillmintPDF.exe, unsigned and on nobody’s list, is blocked at launch. ChatGPT signed in to the company workspace runs; signed in with a personal account, it is blocked.

05

Enforced on the device, on or off the network.

Neo Node decides on the device, with no network component to route through, so controls keep working on a home connection or offline, with the last policy received.

WHAT IT MEANS FOR YOU

Controls keep working at home and offline.

The same laptop in the office, on home Wi-Fi and offline. Proxies and SSE enforce in the office on the routed path, partly at home with an always-on client, and not offline. Neo enforces on the device in all three, offline with the last policy received.

Find out what your stack can't see. Book the demo.

Bring your security and technical evaluators. We'll show you every AI agent, app, and extension across your endpoints, SaaS, and cloud, and how Neo decides what each may do.

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  • < 5 min First scan to full inventory
  • 25MB Neo Node, no kernel module, no reboot
  • < 15 min Full deployment with IdP and SOC