Run AI-generated security code as untrusted software, even when it is intended to defend a system. A safer test setup uses a disposable workspace, exposes only the files and credentials the task needs, restricts network and system resources, and checks the result independently. For higher-risk code, use a virtual machine or microVM with a separate guest kernel rather than relying on a container alone.
What a safe sandbox needs to do
A sandbox is a restricted execution environment, not a guarantee that software cannot cause harm. NIST’s glossary defines it as an environment that prevents potentially malicious software from accessing resources beyond those it is authorized to use. The definition is attributed to CNSSI 4009-2022: NIST CSRC glossary: sandbox.
For AI-generated code, build the boundary around what the code and its agent can actually reach. OWASP recommends sandboxing coding agents and limiting commands, credentials, network access, and resources in its Secure Coding with AI Cheat Sheet. A useful setup has these properties:
- Disposable: You can reset or delete it when testing ends.
- Narrowly shared: It contains only the project files required for the task.
- Credential-light: It has no production keys, personal SSH keys, or broad cloud access by default.
- Network-restricted: Outbound access is blocked unless the task needs it, then limited to necessary destinations where possible.
- Resource-limited: CPU, memory, disk, and process use cannot run away unchecked.
- Independently checked: Security claims are assessed with review and verification that do not depend solely on the producing agent.
These controls reduce exposure; they do not prove that code is safe or eliminate the possibility of vulnerabilities or isolation failures.
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Choose an isolation boundary for the risk
“Container,” “VM,” and “hosted workspace” describe different arrangements, not safety ratings. The right choice depends on how untrusted the code is and what it needs to access.
| Environment | What it provides | What to inspect |
|---|---|---|
| Container or dev container | Packages an application using OS-level virtualization. Containers commonly share the host kernel; configuration and operational controls matter. NIST’s container security guide discusses these risks: NIST SP 800-190. | Workspace mounts, privileges and capabilities, setup commands, network access, and secrets. A dev container may run arbitrary setup commands. |
| Local VM or microVM | A guest operating system with a separate kernel can provide a stronger boundary from host processes and files than a container alone. | Hypervisor boundary, shared folders, network policy, host integration, persistence, and resource limits. |
| Hosted workspace | Can provide an isolated, remotely hosted environment. GitHub says each Codespace has its own VM and network in its Codespaces overview. | Secrets, outbound access, configuration scripts, organization policy, data handling, persistence, and current service terms. |
Docker describes its local Sandboxes as microVMs with a separate kernel, along with product-specific network controls; see the Docker Sandboxes documentation. Those controls are specific to that product and should not be assumed for ordinary Docker containers or other tools. No option is safe by label alone: inspect the actual configuration. The cited documentation does not establish a universal winner or offer a directly comparable benchmark for performance or resistance to every escape technique.
Set up the sandbox in six steps
1. Start with a disposable environment
Use a VM, microVM, restricted shell, dev container, or ephemeral hosted workspace that you can reset or delete. For code you consider highly untrusted, or when you need a stronger boundary from the host, prefer a separate-kernel VM or microVM where practical. NIST published SP 800-190 on September 25, 2017, and lists it as updated May 4, 2021; its guidance is a reminder that containers require deliberate security controls, not a claim that any container configuration is automatically safe.
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2. Share only the files the task requires
Make a clean test copy or create a narrowly scoped workspace. Do not mount your home directory, SSH folder, cloud CLI configuration, credential stores, production configuration, or unrelated projects just for convenience. A mounted project can expose ignored and untracked files as well as tracked source. Git ignore rules do not prevent an agent from reading files that are present in its workspace.
Docker explicitly warns that a mounted workspace can expose ignored and untracked files in its Sandboxes documentation. The general lesson applies to any tool that can read the mounted directory: inspect what is actually present and accessible.
3. Keep credentials out by default
Do not provide production keys, deployment tokens, personal SSH keys, or broad cloud credentials to the agent or test process. Avoid storing secrets in repository files, container images, or environment variables visible to processes unless you have explicitly accepted that exposure. OWASP recommends keeping secrets outside the project tree and using task-scoped, ephemeral credentials when access is necessary.
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If the task genuinely needs an authenticated service, issue the narrowest temporary credential that will work, limit its permissions and lifetime, and revoke it when testing is finished. Do not assume that a sandbox makes a mounted secret safe: code running inside it may be able to read and use that secret.
4. Limit commands, network, and resources
Allow only the tools and commands the task needs. If dependencies can be installed beforehand or are already available, block outbound network traffic during execution. If the code must fetch dependencies or call an external service, allow only the required destinations where the environment supports that policy. Network egress is both a dependency mechanism and a path through which untrusted code can communicate.
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Set CPU, memory, disk, and process limits to reduce the impact of runaway or resource-exhausting code. Docker documents policy-controlled outbound TCP and UDP disabled by default for its Sandboxes; these are product-specific settings, not universal defaults for containers, VMs, or hosted workspaces.
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5. Run tests and verify the result independently
Inspect the generated diff and the commands the agent proposes to run. Execute relevant tests inside the disposable environment, then review the code and dependencies before accepting changes. Depending on the task, independent checks can include static analysis, secret scanning, fuzzing, structural or black-box tests, dependency review, and threat modeling.
A test suite written by the same agent that produced the code is not independent evidence that the security requirements are met. OWASP puts it plainly: “A passing test suite generated by the same agent that produced the code provides no independent assurance.” Treat such tests as useful checks, not proof.
6. Reset or delete the environment
After testing, treat changed workspace contents as untrusted until reviewed. Clear task data and credentials, revoke temporary access, and delete or reset disposable environments when their work is complete. Check the tool’s current documentation for how it handles persistence and cleanup; those details vary by product and can change.
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Common setup mistakes
- Mounting too much: A container or VM cannot protect files you deliberately expose inside it.
- Trusting ignore rules: Ignored and untracked files can still be visible to an agent when they are in a mounted workspace.
- Passing a broad credential “just in case”: Any process able to read it may use it; choose a scoped, short-lived credential only when needed.
- Leaving egress open by default: Unrestricted network access can give code a route to external services. Allow it only when the task requires it.
- Treating a container as a separate-kernel VM: Containers and VMs have different isolation boundaries. Review the actual runtime and configuration.
- Accepting agent-written tests as a security verdict: Use review and verification independent of the code-generating agent.
What standards can and cannot tell you
OWASP’s AI Verification Standard (AISVS) project page reports 191 requirements across 12 chapters and three appendices, with AISVS 1.0 announced for June 2026: OWASP AI Verification Standard. That figure describes the scope of the standard; it is not a measurement of sandbox effectiveness or proof that a particular test environment is secure.
Neither a named tool nor a standards checklist replaces choosing an appropriate boundary and checking what the agent can access. The practical controls are the actual mounts, credentials, allowed commands, network rules, resource limits, and cleanup behavior in your setup.
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