Endlayer surfaces every AI tool, agent, model and MCP server your people actually use, monitors what each one reaches and costs, and governs all of it against a versioned policy. One agent on the device. No proxy, no gateway, no connector per tool.
Runs on macOS, Windows, Linux and cloud · reporting within fifteen minutes of install
Every tool arrived the same way: one person, one laptop, one Tuesday. Nothing was recorded, so nothing can be seen, attributed or proved — and none of it crosses the network controls you already own.
Desktop apps, coding agents and local models run on the machine and never touch the gateway. Provider keys sit in shell profiles and in .env files git is not ignoring. MCP servers carry credentials off the device, and no CASB has a connector for them.
Agents act unattended, in permission modes nobody reviewed. Corporate work runs through somebody's personal ChatGPT and Claude logins. Tokens are spent on the laptop; the invoice arrives monthly and aggregated.
The EU AI Act, ISO/IEC 42001, NIST AI RMF and SOC 2 all ask the same first question: which AI systems do you operate, and who owns each one. A spreadsheet assembled by hand is out of date the day it is signed.
Endlayer surfaces every AI running on your machines, monitors what it touches, and governs it against your policy.
One unprivileged agent on the device feeds all three modules. There is no connector to build, no proxy in the path and no gateway to route through. Everything is read from files already on the disk.
The same four steps whether you are one laptop or fifty thousand.
A local, unprivileged agent installs through the fleet tooling you already run. It reads what the device user can already read, and never elevates.
Every AI app, coding agent, local model, MCP server, account, credential and AI site appears on its own — without anyone being asked to declare it.
What each tool reaches, whose account it runs on, which repositories it sees, how far it can act alone, and what it costs — by tool, model, project and person.
Every signal graded against an immutable policy version. What fails gets an owner, a state and a close date, and the verdict is kept beside the rule that made it.
Surface, Monitor and Govern are the same data at three depths — an inventory, a behaviour picture, and a graded record you can hand to an auditor.
A searchable inventory of what is actually installed: AI apps, coding agents, local models, accounts, credentials and the MCP servers your fleet can reach. Shadow AI discovery without asking anyone.
Not a static asset list. Which tools are sanctioned, undecided or unsanctioned; which agents act unattended; what they reach; what they cost — by tool, model, project, person and machine.
Nineteen rules, each with a switch: which tools are approved, what an agent may do alone, which MCP hosts it may reach, and what may leave in a prompt. Publish, and every device is re-graded within fifteen minutes.
Every tier runs on the device and none of them runs a language model. Sensor is deterministic; Decoder and Guardian add classifiers and act in the path on the machine itself. Nothing decrypted ever leaves the device.
One binary. No runtime, no dependencies, no model. It inventories every AI tool, local model, agent, extension and MCP server on the machine, and the AI sites it reaches, then grades all of it against deterministic policy.
A local gateway, not a network one. Decoder terminates TLS on the device, so a prompt is readable at the moment it is sent, and re-encrypts it before it goes anywhere. That is what makes a real-time block possible.
Guardian sits where agents meet. It sees one agent call another, an agent reach an MCP server, or a tool ask for a permission it was never granted — and it blocks the request and applies the rule on the device, as it happens.
The same list drives the inventory, the monitoring rows and the governance grade. A tool installed at 09:00 is in the inventory by 09:15.
Each rule is mapped to the clauses it satisfies, so the record you already produce is the record an assessor asks for.
How you start depends on how big you are. What you get does not.
Install on a handful of machines and see what comes back within the hour.
Nothing about your devices leaves your network.
One shared secret and the same settings for every wave, through Intune, Jamf or SCCM. Nobody has to click anything.
Thirty minutes, your own questions, and a walk through the console on a live demo fleet. Bring the device population you care about and we will show you what Endlayer finds on it.