# OpenAI's Windows Sandbox Solution

_OpenAI details its custom-built sandbox for Codex on Windows, overcoming limitations of native tools with an 'elevated' approach for enhanced security._

**Updated:** 2026-08-22
**Published:** 2026-05-13
**Source:** https://www.startuphub.ai/ai-news/artificial-intelligence/2026/openai-s-windows-sandbox-solution

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OpenAI has detailed its journey in building a secure sandbox environment for its [Codex on Windows sandbox](/ai-news/ai-video/2026/openais-codex-redefines-the-ai-native-engineering-workflow), aiming to balance developer productivity with system security.

Codex on WindowsCore

OpenAI's AI model needing secure execution environmentFrom the article 6 mentionsOpenAI has detailed its journey in building a secure sandbox environment for its Codex on Windows sandbox, aiming to balance developer productivity with system security.requiresNative tools inadequateDriverAppContainer too restrictive, Windows Sandbox lacks file accessFrom the articleExisting Windows tools like AppContainer and Windows Sandbox proved inadequate for Codex's dynamic, open-ended workflows, which require interacting with user-owned files and tools.led toUnelevated sandbox attemptContextInitial prototype without admin privileges, limited functionalityFrom the articleOpenAI's initial prototype, the 'unelevated sandbox,' aimed to operate without requiring administrator privileges.improved toElevated sandbox solutionCoreMore robust approach for enhanced security and accessFrom the articleRecognizing the limitations, OpenAI pivoted to an 'elevated sandbox' requiring admin privileges during setup.Developer productivityContextBalancing security with ability to run tools and access filesFrom the article 2 mentionsOpenAI has detailed its journey in building a secure sandbox environment for its Codex on Windows sandbox, aiming to balance developer productivity with system security.Secure executionEffectCustom-built environment overcoming native tool limitationsFrom the articleOpenAI has detailed its journey in building a secure sandbox environment for its Codex on Windows sandbox, aiming to balance developer productivity with system security.System securityEffectEnsuring safe operation of Codex on user machinesFrom the article 5 mentionsOpenAI has detailed its journey in building a secure sandbox environment for its Codex on Windows sandbox, aiming to balance developer productivity with system security.
Existing Windows tools like AppContainer and Windows Sandbox proved inadequate for Codex's dynamic, open-ended workflows, which require interacting with user-owned files and tools.

## Native Windows Tools Fell Short

AppContainer, while offering strong isolation, is too restrictive for Codex's need to run various developer tools like shells, Git, and package managers.

Windows Sandbox provides a disposable VM, but it doesn't allow Codex to directly access the user's actual project files and environment.

Mandatory Integrity Control (MIC) labeling offered a potential path, but modifying host filesystem integrity at a broad level introduced significant security risks.

## The First Attempt: Unelevated Sandbox

OpenAI's initial prototype, the 'unelevated sandbox,' aimed to operate without requiring administrator privileges.

This design used Security Identifiers (SIDs) and write-restricted tokens to control file writes, allowing modifications only within designated areas like the current working directory.

Network access control proved more challenging. The team resorted to environment variable manipulation and stub scripts to redirect or block common network protocols like HTTP(S) and SSH.

However, this approach was largely advisory, easily bypassed by applications not adhering to environment settings or implementing custom network stacks.

Performance issues related to applying file system Access Control Lists (ACLs) and the difficulty in changing sandbox semantics also surfaced.

## The Elevated Sandbox: A More Robust Solution

Recognizing the limitations, OpenAI pivoted to an 'elevated sandbox' requiring admin privileges during setup.

This iteration runs child processes under restricted tokens, similar to the unelevated version, but crucially, these tokens are associated with dedicated local user accounts: 'CodexSandboxOffline' and 'CodexSandboxOnline'.

This segregation allows for more precise network control via Windows Firewall rules, targeting specific sandbox instances rather than the general user or specific binaries.

This redesign enables the [OpenAI Codex Windows sandbox](https://openai.com/index/building-codex-windows-sandbox) to offer a safer and more effective experience on Windows, aligning it with capabilities on other operating systems.

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Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.