Docker

Safe AI agent execution with sandboxing and governance.

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Added Jul 2026

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What is Docker?

Docker provides a unified platform for safely running AI agents with full isolation and governance. It uses microVM sandboxing and network policies to secure agent execution, while offering identity-bound audit logs and policy controls through a centralized console. Designed for security teams and developers deploying AI agents across laptops and cloud infrastructure.

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Key Features of Docker

MicroVM isolation for agent sessions
Network and filesystem lockdown at runtime
Unified sandbox and MCP policy console
Identity-bound audit logs
Hardened, signed, continuously patched images
SLSA Level 3 compliance
Local debugging and scaling to cloud
Zero per-machine setup governance
Least privilege scoping
SEV-SNP TEE attestation

Who Should Use Docker?

Deploy AI agents safely in enterprise environments

Manage multiple concurrent agent sessions with isolation

Audit and govern AI agent behavior across teams

Scale agents from local development to production

Secure billing and financial automation agents

Code refactoring and analysis with controlled execution

Docker: Pros & Cons

✓Pros

Leverages existing Docker, container, and CI infrastructure
No migration or new ecosystem required
Invisible to developers while providing total security control
Audit-ready by default with SLSA Level 3
Supports running agents on laptops and any cloud platform
Centralized governance console for policies and audit logs
Fast startup times (ready in seconds)
Identity-bound execution with least privilege scoping

Frequently Asked Questions about Docker

How do I get started with Docker Sandboxes?

You can install via brew with 'brew install docker/tap/sbx' and then use 'sbx run <agent>' to launch a sandboxed AI agent.

What isolation does Docker provide for AI agents?

Docker uses microVM isolation for every agent session with network and filesystem locked down at the runtime, extending container security principles to agents.

Do I need to migrate my existing Docker setup?

No. Docker agents run on your existing images, registries, and CI infrastructure with no new ecosystem or migration required.

How does governance work in Docker AI Governance?

It provides a unified console for sandbox and MCP policies, identity-bound audit logs, and zero per-machine setup while remaining invisible to developers.

Can I run agents locally before scaling to production?

Yes. Agents start on your laptop as a development environment and can scale anywhere while maintaining the same security guarantees.