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Secure sandbox isolation and governance platform for autonomous AI agents and coding assistants.

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About Docker Sandboxes & AI Governance

What It Does

Docker Sandboxes & AI Governance provides enterprise-grade isolation, security, and governance infrastructure for autonomous AI agents. Built on Docker's proven container technology, it extends microVM isolation to every agent session—whether running locally on a developer's laptop or scaled to the cloud. The platform combines runtime isolation with identity-bound audit logs, policy enforcement, and signed components to enable safe autonomous agent execution at scale.

Who It's For

Designed for enterprises and development teams deploying AI agents—from coding assistants like Claude to custom autonomous agents. It's built for organizations that need to balance developer velocity with security, compliance, and audit requirements. The platform serves security teams needing governance without blocking engineering, and developers who want to run agents at full speed without inheriting operational risk.

Key Features & Capabilities

• Docker Sandboxes: MicroVM isolation for every agent session with network and filesystem lockdown at runtime • AI Governance Console: Unified policy management, identity-bound audit trails, and zero per-machine setup • Docker Hardened Images: Minimal, signed, continuously patched container images with SLSA Level 3 compliance • MCP Enterprise Gateway: Connect and manage Model Context Protocol (MCP) tools across teams • Runtime Policy Enforcement: Allow policies, image signing verification, identity scoping, and attestation at every step • Cloud or Local Execution: Start on your laptop and seamlessly scale to Cloud Sandboxes for long-running tasks

How It Works

Developers run agents with a single command (docker agent run) while the governance console enforces policy, verifies signatures, and logs every action—invisible to developers but providing total control for security teams. The platform uses OCI-compliant, platform-independent standards with no lock-in. It integrates with existing Docker images, registries, and CI/CD pipelines, requiring no migration or ecosystem replacement.

What Makes It Different

Docker brings the same isolation guarantees that run the cloud to the agent era, on infrastructure 91% of the Fortune 100 already trust. Unlike point solutions, it provides end-to-end governance from development to production on the same stack teams already use. Agents gain trusted autonomy to act independently while organizations maintain audit-ready compliance by default—lowering costs through automation without inheriting cleanup risk or audit gaps.

Agent Platform

Developer
Docker Inc.
Added
4 days ago

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Platform Categories

AI Security

AI tools for cybersecurity, threat detection, and system protection

Enterprise AI Agent

Advanced AI solutions designed for business integration, offering SDK capabilities for data analysis and process automation at enterprise scale

AI Agent Platform

A platform for managing and deploying AI agents, providing tools for seamless integration, automation, and real-time monitoring.

Agent Hosting

Platforms and solutions for hosting and deploying AI agents. This category covers managed hosting services, containerization options, and cloud solutions optimized for running and scaling AI agents.

Sandboxes

Isolated environments for testing and experimenting with AI agents. These platforms allow developers to debug, optimize, and refine agent performance before deployment.

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Platform Pricing

Free Tier Available

Freemium Model

Free basic features with premium features available for paid users. Start for free and upgrade as needed.

Paid plans starting from

$9

Free tier includes basic features to get started

Prices may vary based on usage volume and selected features. Contact sales for custom enterprise pricing.

View detailed pricing on website

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