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# Docker AI Governance

## AI governance for _every_ agent

Centralized sandbox, network, and MCP controls for agents and Claws across every team, every tool, every machine. Defined once. Enforced everywhere.

[Contact sales](https://www.docker.com/products/ai-governance/#contact-sales) [Read the docs](https://docs.docker.com/ai/sandboxes/security/governance/)

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## Works with every AI tool your team uses

Capabilities

## One engine.  Three layers of control.

Sandbox, MCP, and network controls: defined once in the admin console, propagated through the auth flow developers already use.

Sandbox Policies

#### Network and filesystem control. Enforced, not advised.

Define allow and deny rules for domains, IPs, and CIDRs. Set filesystem mount rules with read-only or read-write scope. Enforcement happens at the proxy and mount level.

MCP Tool Governance

#### Control which tools agents can use. Org-wide, by default.

Admins control which MCP servers and tools are available organization-wide. Unapproved servers are blocked by default and every MCP call flows through the same policy engine.

Audit + Visibility

#### The proof CISOs need to confidently approve AI.

Every policy evaluation generates a structured event with user identity, timestamp, session context, and triggering rule. Export to your existing SIEM and compliance systems. Get full traceability, zero blind spots.

See it in action

## Define once. Propagate everywhere.

A security admin approves an MCP server in the org catalog. Policy pushes through your IdP. Every developer’s next session picks it up, automatically, with zero per-machine setup.

Scope:EngineeringData Science

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Who it’s built for

## AI governance for every stakeholder.

CISO

#### Approve AI. Not just permit it.

Full auditability and centralized policy gives you the evidence to confidently sign off on agent adoption across the organization.

Platform Teams

#### Define once. Enforce everywhere.

Policy is set centrally and propagates on developer authentication. No per-machine config. Scales through your existing SAML and SCIM IdP.

Developers

#### Full speed. Zero friction.

Governance runs in the background. Agents work the way they’re supposed to, autonomously, on the tools you already use.

Why Docker

## Most tools cover one slice.  Docker covers the whole agent.

|  | Network | Filesystem | MCP | On the laptop | Vendor neutral |
| --- | --- | --- | --- | --- | --- |
| ### Docker AI Governance<br>Sandbox + MCP, one console, on the laptop your employees already use. | Network | Filesystem | MCP | On the laptop | Vendor neutral |
| ### MCP-only gateways<br>Network and filesystem out of scope by design. | Network<br>– | Filesystem<br>– | MCP | On the laptop | Vendor neutral |
| ### Agent mesh<br>Runs in the data plane. Doesn’t reach the laptop. | Network | Filesystem<br>– | MCP | On the laptop<br>– | Vendor neutral<br>– |
| ### Remote dev environments<br>Covers everything — after migrating every dev off their laptop. | Network | Filesystem | MCP | On the laptop<br>– | Vendor neutral |
| ### Built-In Guardrails from Frontier Models<br>Basic, vendor-locked controls. | Network | Filesystem | MCP<br>– | On the laptop | Vendor neutral<br>– |

## One console. Every agent. Every Claw.

Policy propagates automatically from security leaders to every developer. No tickets. No surprises.

[Read the docs](https://docs.docker.com/ai/sandboxes/security/governance/)

See it in action

## Get started with  Docker AI Governance.

One console to govern AI agents and Claws across your entire organization. Policy propagates automatically from security leaders to every developer.

#### Sandbox, network, and filesystem controls

#### Org-wide MCP server and tool governance

#### Structured audit events to any SIEM

#### SAML / SCIM via your existing IdP

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