Shadow AI + MCP Gateway · One platform

Control What AI Agents Access.
Protect Data in Motion.

The unified MCP Gateway for enterprise AI security. Discover and govern Shadow AI, inspect every data exchange as it happens, and redact sensitive data before it reaches any model or unauthorized user. The unified MCP Gateway for enterprise AI security. Govern Shadow AI and redact sensitive data before it reaches any model or unauthorized user.

Deploys in minutes · No agents on endpoints · SOC 2 Type II

metomic-gateway · live traffic INSPECTING
Agents & AI tools
CClaude · MCP clientgoverned
Cursor · MCP clientgoverned
?Unknown browser AIshadow
Metomic MCP Gateway
INSPECT · GOVERN · REDACT
call crm.export data "Acme Corp [REDACTED:ORG]" "4929…9021 [REDACTED:PAN]" ok ALLOW · 2 redacted · 12ms
least-privilege access policy enforcement full audit trail
External models
Frontier LLM APIs
Embedded copilots
Third-party MCP servers
Trusted by security teams at
ZappiJuniZooplaEcoVadisWrapbookOysterCodat
SOC 2 Type II · AICPA ★★★★★  4.8 on G2
Why Metomic

One platform for MCP Gateway and Shadow AI security

Metomic understands what is inside your data and acts on it the moment an agent reaches for it. Most tools do half the job: they classify data at rest, or they watch agent traffic. Metomic does both, in real time, at the gateway.

It reads what is inside the request

A call can look fine by who sent it and still carry something it should not. A finance agent summarizing vendor contracts never sees the bank details buried in an appendix, because Metomic redacts them before the model does.

AI Judge handles what rigid rules miss

It weighs the content each request carries and decides in context: allow, redact, hold for human approval, or block. No endless keyword lists or file rules to maintain as your tools change.

Value on day one

Hosted and preconfigured for the tools you already run, with nothing to stand up on your side. From the first day you can see what your agents are doing with your data, before you write a single policy.

The Shadow AI problem

Shadow AI spreads faster than the approval process

When the approved path is slower than going it alone, people go it alone. Engineers wire Claude and Cursor into company tools on their own. Staff paste customer records into browser AI. Every unapproved MCP server and copilot is another way sensitive data leaves with no record behind it.

Metomic surfaces this shadow layer so you can govern it, not block it.

Prompt injection

A poisoned document can steer an agent into handing over data it should never expose.

Over-privileged connections

A server wired with broad scopes turns one convenient integration into a straight path to a leak.

Rogue MCP servers

A malicious server posing as a trusted tool can quietly swap its behavior after you connect it.

No audit trail

When the auditor asks what your AI touched, unapproved tools leave you with nothing to show.

How it works

See it. Control it. Prove it.

Say yes to AI and keep customer data where it belongs. Teams get the tools they want, security keeps the controls they need, and the record is there when someone asks.

01 · Visibility

See it

Visibility from day one, before you write a single policy. Every agent request, who made it, which tool it hit, and what data it touched, plus the Shadow AI running in the browser. It all streams into your SIEM.

02 · Enforcement

Control it

Step in on requests as they happen: coach, allow, redact, hold for approval, or block. Approved-AI rules decide which agents and tools get near your data, enforced with least privilege at the gateway.

03 · Assurance

Prove it

A full record of every agent action and a clear view of how your AI behaves, ready for the auditor or the regulator. No reconstruction after the fact.

Coverage

Visibility where sensitive content lives

Metomic inspects messages, tickets, pages, files, and records, the actual content where sensitive data hides, not just metadata or attachments.

Salesforce Slack Jira Google Drive Snowflake Box Confluence Notion ChatGPT Zendesk Linear Dropbox

Source content is inspected in flight. Only findings and metadata are retained, for your audit trail. See all integrations →

Stop choosing between moving fast and staying safe

See what your agents are touching from week one. Govern Shadow AI, inspect data in motion, and redact sensitive data before it reaches any external model.