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Anthropic Enhances Claude Agents with Private Sandboxes for Enterprises

Anthropic has rolled out new self-hosted sandboxes for its Claude Managed Agents, allowing enterprises to enhance their AI security and control over sensitive data.

Anthropic — ai-infrastructure — Anthropic
Anthropic Enhances Claude Agents with Private Sandboxes for Enterprises Source: GPUBeat

Anthropic has taken a significant step in enhancing the security and operational efficiency of its Claude Managed Agents by introducing self-hosted sandboxes for enterprises. This update, effective immediately, allows companies to execute AI agents within their own infrastructure, ensuring that sensitive data and compute resources remain under their control.

Keeping Operations In-House

With the implementation of self-hosted sandboxes, AI agents now interact with sensitive files and services entirely within the enterprise's operational boundaries. While Anthropic's infrastructure continues to support core agent functionality, organizations manage the execution of these tools directly. This change enables businesses to apply their existing network policies and security protocols, improving their audit logging and overall security posture.

Organizations can also allocate specific CPU, memory, and capacity to meet the demands of intensive tasks, such as builds or image generation, allowing for a tailored approach to resource management.

Flexible Sandbox Options

Anthropic provides flexibility by allowing customers to choose their own sandbox providers or utilize supported options. Available choices include:

  • Cloudflare: Offers scalable sandboxes powered by microVMs, providing granular control over outbound requests and the ability to inject secrets.
  • Daytona: Specializes in stateful, composable sandboxes accessible via SSH or authenticated URLs, suitable for long-running tasks.
  • Modal: Delivers a cloud platform optimized for AI workloads, ensuring scalable compute and storage capabilities.
  • Vercel: Combines the security of virtual machines with rapid startup times, seamlessly integrating with cloud environments while managing credentials effectively.

This variety ensures that enterprises can select a sandbox environment that best fits their operational needs and security requirements.

Securing Internal Access with MCP Tunnels

A notable addition to Anthropic's offering is the introduction of Model Context Protocol (MCP) tunnels, designed to facilitate secure connectivity to internal resources without exposing them to the public internet. By deploying a gateway that establishes a single outbound connection, MCP tunnels eliminate the need for inbound firewall rules or public endpoints. This method ensures that internal databases, private APIs, and knowledge bases can be utilized safely by AI agents, maintaining data integrity and confidentiality.

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The MCP tunnels are integrated into both the Managed Agents and the Messages API, with management capabilities accessible via the Claude Console’s workspace settings, enhancing user experience and control.

Implications for the AI Infrastructure Market

The enhancements to Anthropic's Claude Managed Agents reflect a growing trend in the AI infrastructure market, where security and control over data are crucial for enterprises. As organizations increasingly incorporate AI into their workflows, the demand for solutions that allow for secure execution and data privacy becomes critical. By providing self-hosted sandboxes and secure connectivity options, Anthropic not only meets this demand but also positions itself as a leading player in the AI infrastructure sector.

This strategic move is likely to resonate with enterprises that prioritize data security and privacy, further driving the adoption of Anthropic’s technologies. As the market evolves, the ability to manage AI operations securely in-house may become a key differentiator for companies looking to leverage AI effectively while safeguarding their sensitive information.

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GPUBeat Desk

Desk · joined 2026

GPUBeat Desk covers AI infrastructure — chips, foundation models, inference economics, datacenter buildouts, and the geopolitics of compute.