Running Codex safely at OpenAI
OpenAI Blog / 5/8/2026
💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage
Key Points
- OpenAI explains how it runs Codex with security controls such as sandboxing, approvals, and network policies to reduce risk during code-generation and execution.
- The article focuses on compliance-oriented safeguards that help enable safer adoption of coding agents in real workflows.
- OpenAI also highlights agent-native telemetry, designed to provide visibility into agent actions for monitoring and governance.
- Overall, the piece emphasizes practical operational measures needed to deploy LLM-based coding agents responsibly rather than just model performance.
How OpenAI runs Codex securely with sandboxing, approvals, network policies, and agent-native telemetry to support safe and compliant coding agent adoption.
