Secure the Data AI Agents Touch.
Everywhere.
The AI data firewall between users, AI agents, and enterprise data. Inspect inbound messages, prevent outbound exposure, and govern tool calls in flight.
Deployed via native SaaS hooks for inbound AI agents, agentless with Inference Hooks, or inline with MCP Gateway.
Inbound Defense
Stop malicious inputs, prompt injection, and sensitive data exposure before they reach customer-facing AI agents.
Native · SaaS App HooksLearn more →Outbound Protection
Prevent employees and AI agents from exposing sensitive enterprise data, credentials, and confidential information to models and external services.
Agentless · Inference HooksLearn more →Agent Oversight
Inspect and control agent tool calls, retrieved data, and interactions across MCP servers and connected enterprise applications.
Inline · MCP GatewayLearn more →Deployed three ways: native SaaS hooks for inbound agents, agentless with Inference Hooks, or inline with MCP Gateway.
One control point for every AI interaction
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.
Shadow AI discovery covers what's running outside all three: every unapproved tool your teams are already using. Compare MCP Gateway and Inference Hooks to see which fits your stack.
Inbound Defense
Detect and block direct and indirect prompt injections, malicious payloads, and untrusted customer inputs before they reach your AI models.
See Inbound Defense →Outbound Protection
Prevent employees and agents from leaking PII, API credentials, and proprietary IP to public or private LLMs and third-party APIs.
See Outbound Protection →Agent Oversight
Inspect and govern MCP tool calls, RAG retrievals, and autonomous agent actions across connected enterprise applications in real time.
See Agent Oversight →SaaS App Hooks
Native webhook integration with customer-facing AI agent platforms: Zendesk, Salesforce Agentforce, ServiceNow Now Assist, HubSpot, and more.
Inbound Defense →Agentless Integration
Zero-friction enforcement via native SaaS webhooks and API event streams, no code changes required.
Inference Hooks →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 hijacks your agents
A poisoned document can steer an agent into handing over data it should never expose.
Over-privileged connections leak data
A server wired with broad scopes turns one convenient integration into a straight path to a leak.
Rogue MCP servers swap their behavior
A malicious server posing as a trusted tool can quietly swap its behavior after you connect it.
No audit trail leaves you exposed
When the auditor asks what your AI touched, unapproved tools leave you with nothing to show.
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.
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.
Control it
AI Judge decides in context as each request happens: 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.
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.
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.
Source content is inspected in flight. Only findings and metadata are retained, for your audit trail. See all integrations →
Questions security teams ask
The MCP Gateway, Shadow AI, and data-in-motion questions we hear most from security teams evaluating Metomic.
What is an MCP Gateway?
An MCP Gateway sits between your AI agents and the tools and models they call. It inspects every Model Context Protocol (MCP) request in real time, enforces least-privilege access, and redacts sensitive data before it reaches any external model. Metomic is the security control point between users, AI agents, and enterprise data: MCP Gateway for agent-to-tool traffic, inference hooks for model traffic, Shadow AI discovery for the tools nobody approved. Read the full guide to what an MCP Gateway is for more.
What are inference hooks?
Inference hooks are lightweight interception points wired directly into the model call path, covering AI traffic that never passes through an MCP server, such as direct LLM API calls, embedded copilots, or custom agent frameworks. They give Metomic the same real-time inspection, redaction, and policy enforcement as the MCP Gateway, so every prompt and completion is covered regardless of protocol.
What is Shadow AI and how does Metomic handle it?
Shadow AI is the use of AI agents, MCP servers, copilots, and browser AI tools that were never approved by security, such as engineers wiring Claude or Cursor into company tools or staff pasting customer records into browser AI. Metomic surfaces this shadow layer so you can govern it, not block it, giving teams the AI they want while keeping sensitive data protected.
How does Metomic protect data in motion?
Metomic understands what is inside each request and acts on the content itself. In real time at the gateway it can allow, redact, hold for human approval, or block a request, then keep a full record of every agent action streamed to your SIEM for the auditor or the regulator. Read more on what AI data in motion actually means.
How quickly can Metomic be deployed?
Metomic is hosted and preconfigured for the tools you already run, with no agents on endpoints. You can see what your agents are doing with your data from day one, before you write a single policy.
Is Metomic SOC 2 compliant?
Yes. Metomic is SOC 2 Type II certified (AICPA) and rated 4.8 on G2 by security teams at enterprises running AI at scale.
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.