At the WeAreDevelopers World Congress North America, Docker announced the availability of Docker Cloud Sandboxes and unveiled the open Sandbox Kit specification. The new tools aim to give developers a secure execution layer for AI agents, allowing complex or long-running tasks to move seamlessly from local machines to cloud-managed microVM environments.
MicroVM Isolation and Billing Models
Docker Cloud Sandboxes isolate tasks inside lightweight microVMs equipped with dedicated kernels and Docker daemons. Developers manage both local and remote workloads using the sbx command-line utility, permitting an agent to build applications, install dependencies, and run containers without risking host access. Compute for Cloud Sandboxes is billed by the second, allowing users to offload extended refactoring or migration jobs while keeping their local hardware free.
The platform enforces runtime security by separating local and cloud credentials. According to Docker executives, the microVM boundary prevents agent escalation paths, such as mounted host Docker sockets being exploited to extract host-level secrets. However, Docker noted that network-level restrictions cannot solve every intent-matching problem, making granular runtime permissions—such as allowing agents to draft messages without giving them permission to send—an ongoing requirement.
Standardizing Agent Environments with Sandbox Kits
Alongside the cloud infrastructure, Docker released the Sandbox Kit specification under the Apache 2.0 open-source license, with plans to submit the format to the Cloud Native Computing Foundation (CNCF). A Kit is packaged as an OCI image containing an agent, its required tooling, and declared access permissions. This approach lets teams inspect, version, and sign agent environments using standard container image workflows.
Because access declarations are embedded directly into the Kit manifest, changes to requested permissions or network access can be reviewed during pull requests. The runtime layer evaluates these declarations and enforces security policies outside the agent. To demonstrate vendor-neutral compatibility, Nous Research showcased its open-source Hermes agent packaged as a Kit during the launch event.
Centralized Governance and Ecosystem Integration
Docker's updated runtime approach focuses on governing execution layers rather than modifying individual agent frameworks. The architecture enables centralized default-deny controls over permissions, API credentials, and cloud spend. Demonstration pipelines showed proxies supplying active credentials without exposing raw API keys directly to the sandbox environment.
Partner integrations presented at the conference included Datadog for security incident tracking, Snyk for sandbox content inspection, and GitGuardian for secrets monitoring. Developers can test local setups through the Docker sbx CLI tool, deploy via Cloud Sandboxes, or adopt the open Sandbox Kit specification to configure reproducible agent workflows.
AI-generated editorial illustration; not a documentary photograph.
Source: Trust Docker for the agents you don’t
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