Say yes to AI without wondering what it touched.

Metomic sits in the path of your agents and in the browser, so you can see what AI is reaching for, step in while it matters, and show an auditor how it behaved. See it. Control it. Prove it.

Metomic is the AI data security layer for everything your people and their agents do with sensitive data.

Metomic governs the AI your company runs and the AI your people find. Your agents reach tools through Metomic, so requests pass a control point before data moves. In the browser, Metomic covers the AI your people use directly. One set of controls covers both, and one record covers both.

Your board wants AI. You want to know what it can reach.

Your people connect Claude, ChatGPT, and Cursor to your CRM, your drive, your email, and more. Whatever a person can open, their agents can open too. Meanwhile the AI nobody approved is already in the browser, often on personal accounts that no company block reaches.

Block it all.

Enterprise-only blocks do not reach a personal account. The tools reappear on accounts you cannot see, and you lose the visibility you started with.

Scan and hope.

A scan that proves the leak does not give you anywhere to go next. You end up with a finding and nowhere to take it.

Most security teams can describe this problem in detail. What they lack is a lever to pull.

Metomic starts from what your people are already doing and gives you somewhere to go: see it, control it, prove it.

A control point where the request happens.

Your agents
Claude ChatGPT Cursor
Your people
In the browser
IBAN · PII
Logo
one point of oversight
Scans every request & response
Strips sensitive data
Blocks or coaches, live
clean
MCP servers, tools & the model
MCP servers Tools Model
Shadow AI, surfaced
ChatGPT (personal) Gemini Unmanaged

In the agent's path.

Your agents reach tools through Metomic instead of connecting straight to them. Metomic weighs each request against your controls, then coaches, allows, blocks, or holds it for a person to approve. Where a control permits a request but not everything in it, Metomic strips the sensitive fields before the response reaches the agent. Routine checks resolve in milliseconds, and your people feel nothing.

In the browser.

Metomic shows you the AI your people are already using, including the personal and unmanaged accounts your other tools never see, and applies the same controls to sensitive data on its way into a chat window.

One platform, working in the two places AI meets your data.

It knows the data, and it is in the path.

Most tools do one half of this job. They classify data at rest, or they watch the agent's traffic. Metomic does both, so a decision happens while the request is still in the air and you can still change the outcome.

It catches what's inside the data.

A request can look fine by who sent it and still carry something it should not. A finance agent summarizing vendor contracts never sees the supplier's bank details buried in an appendix - Metomic strips them before the model does.

A person in the loop where it counts.

Some requests should not be a machine's call. Metomic holds them while somebody on your team approves or denies, so the hard cases get a human answer and the routine ones never reach a queue.

Nothing to run, nothing to negotiate.

Metomic hosts the platform, and a browser extension is the only thing your team installs. There is no endpoint agent, and Metomic needs no API access to the AI vendors your people use, so coverage does not depend on owning the tenant.

Built for security teams under pressure to move faster.

Metomic fits companies where AI adoption is running ahead of the controls, and where somebody has to answer for it. That is usually the CISO or Head of Security, working alongside whoever owns AI transformation, governance and risk, and IT. Financial services teams tend to feel it first, because the regulator is specific and the notification clock is short.

See it. Control it. Prove it.

See it.

Visibility from day one, before you write a single control. Metomic shows you which agents are running, what data each request touched, and what came back. In the browser, it shows which AI tools your people use, who is using them, and how deeply. Agent and browser activity feeds your security information and event management platform (SIEM).

Control it.

Set controls that coach, allow, block, or hold a request while a person approves or denies it. The agent waits for the answer and carries on. Approved-AI controls decide which agents and tools get near your data in the first place, on both surfaces, from one place.

Prove it.

Metomic logs every agent tool call: who acted, which agent, which tool, which control applied, and what the outcome was. Metomic scans content in flight and does not store it, so what you keep is a record of the decisions. The sensitive data itself stays where it lives.

SOC 2 Type II. Years of classifying and protecting sensitive data in SaaS sit underneath everything Metomic built for AI.

Trusted by security teams at

Industry Name
Zappi
Industry Name
Juni
Industry Name
Zoopla
Industry Name
Ecovadis
Industry Name
Wrapbook
Industry Name
Oyster
Industry Name
Codat

Works with the tools your agents already reach.

Metomic ships with ready-made connectors for the tools agents call. Anything outside the library takes one step: paste the MCP server endpoint and Metomic works out what it is and sets it up. Metomic governs the internal tools your engineers built on the same terms.

Metomic scans content in flight and does not store it. What you keep is a record of the decisions.
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Be the team that said yes.

Your people want to use AI on real work. Your job is to make that safe and to prove it was. Book a demo and we will show you what this looks like on an estate like yours.