Control your agents. Everywhere.
Runtime security for AI agents. Discover your AI agents, MCP servers, and skills. Manage in one place and enforce runtime guardrails.
Runtime security for AI agents. Discover your AI agents, MCP servers, and skills. Manage in one place and enforce runtime guardrails.
Your AI estate, secured and managed from one place: deploy skills, third-party gateways, and policies across every asset, once.
Coverage across endpoints, homegrown agents, and SaaS, down to what each agent is made of: models, skills, plugins, tools, packages, and MCP servers, plus the human and non-human identities it carries. So you know what each agent can reach, not only that it exists.
Hand over the agent’s spec and its controls exist from minute one. No spec? Metano baselines the agent’s real behavior for about a week and writes controls from what it learns.
Agents multiply faster and change more often than any rule set you have ever maintained. So you don’t maintain one. The detections are written and kept current for you as agents and attacks move, and you get a shortlist to approve, not a library to own.
For strict data privacy and sovereignty requirements, run Metano on-premises in your own data center, or in your own AWS, Azure, or GCP account. The data it collects stays on infrastructure you control, and so does every decision about who can reach it.
Start with the surface your agents are on today and add the rest as they spread. One sensor set and one context graph cover endpoint, homegrown, cloud platform, and SaaS, so coverage grows with your stack instead of stopping at a gateway.
Discovery & Shadow AI
Every agent, MCP, and skill, mapped before it becomes risk.
Runtime Monitoring
See what every agent did, in one correlated record.
Threat Detection
Threat detection that learns your agents, not a rule list you maintain.
Guardrails as a Service
Runtime guardrails you could not have written yourself.
| Capability | EDR | LLM/MCP gateway | Metano |
|---|---|---|---|
| Individual process and file events | Yes | No | Yes |
| One prompt or tool call at a time |
AI Supply-Chain Security
Vet what your agents are built from, and what each one can reach.
Data Loss Prevention
DLP that understands what the agent was accessing and why.
| Yes |
| Yes |
| Block or redact at the action, not the edge | Partial | Partial | Yes |
|---|
| No gateway in the data path | Yes | No | Yes |
|---|
| Which agent acted, under which identity | No | Partial | Yes |
|---|
| The whole agent session, end to end | No | No | Yes |
|---|
| Whether the action matched the agent’s intent | No | No | Yes |
|---|
| Endpoint, network, and identity in one record | No | No | Yes |
|---|
| Multi-step and agent-to-agent chains | No | No | Yes |
|---|
| Runtime guardrails written from the agent’s spec | No | No | Yes |
|---|
| Blast radius as a walk of the context graph | No | No | Yes |
|---|
| Agent bill of materials: MCP servers, skills, packages | No | No | Yes |
|---|
Illustrative summary of typical coverage. Check it against the tools you actually run.
Integrations
Metano speaks OCSF and standard schemas, so its events land in Splunk or any SIEM you already run. If it has an API or an MCP server, it can be integrated. And it runs alongside your EDR, NDR, firewall, and DLP with none of them reconfigured.









As more of your people build agents, productivity grows, and so does risk. With Metano each agent gets a named owner, the access its role needs, a record of every action, the intent behind it, and the controls that bound it.
