Docker and E2B Are Shaping the Future of Trusted AI

AI agents are changing the way developers automate workflows and build applications. Their expanding capabilities, however, have amplified concerns around trust and security. As a longstanding leader in delivering safe, portable software, Docker is now focused on making AI development just as secure and accessible for its global community.

Why Trust Matters in AI Development

AI agents can automate coding, interact with APIs, and connect to real-world tools. These strengths also introduce new vulnerabilities. Two major risks have emerged:

• Uncontrolled Code Execution: AI-generated code may run in production environments with insufficient safeguards, potentially granting unauthorized access to sensitive files or APIs.
  
  
• Complex Tool Integrations: The rise of integrations, especially via the Model Context Protocol (MCP), means each new connection can increase an application’s attack surface. Securing these without hindering development speed is a significant challenge.

Developers have resorted to custom sandboxes and ad-hoc isolation methods, but such solutions often add friction and complexity, reminiscent of issues before containers standardized deployment environments.

Docker’s Approach: Standardizing Secure AI Practices

Docker’s mission is to bring the same standardization to AI that it brought to application deployment. Key recent advancements include:

• MCP Toolkit: Simplifies creation and management of agent workflows, reducing manual overhead.
  
  
• Local Model Execution: Supports running open-weight models on local machines for increased control and privacy.
  
  
• Curated MCP Catalog: Provides access to over 200 vetted MCP servers, each audited for security and reliability.

Strategic Partnership: Docker and E2B

To further enhance secure AI development, Docker has teamed up with E2B, a leader in secure cloud sandboxes for agent code execution. This partnership directly addresses the two core challenges developers face:

• E2B Sandboxes: Deliver isolated, cloud-hosted spaces for safely running code generated by AI agents.
  
  
• Docker MCP Gateway: Offers secure, direct access to a wide range of real-world tools from GitHub to ElevenLabs  all without sacrificing speed or flexibility.
  
  
• Ongoing Auditing: Docker continuously reviews and audits MCP servers to ensure protection from emerging threats and malicious behavior.

This collaboration empowers developers to build, test, and deploy AI agents with confidence, combining both flexibility and robust security for modern applications.

The Road Ahead: Building a Trusted AI Stack

The Docker + E2B partnership represents the first step in a larger vision for secure AI infrastructure. Docker’s goal is to guarantee every AI agent runs in a trusted environment, every tool connection is verifiable, and developers retain complete oversight—mirroring the reliability containers provide today.

As AI continues to evolve, trust will underpin the next generation of innovation. Docker’s commitment is to let developers build, validate, and manage AI stacks with the same ease and rigor that transformed containerization into an industry standard.

Takeaway

By integrating Docker’s standardized security with E2B’s cloud sandboxes, developers can harness the full potential of AI agents, scaling productivity and innovation without compromising on safety.

Source: Docker Blog