OpenAI has secured FedRAMP 20x Moderate authorization for its ChatGPT Enterprise and API platform, allowing federal agencies to access GPT-5.5 within a secure FedRAMP environment. This advancement promotes the use of AI in government by ensuring compliance with rigorous security and privacy standards while enabling agencies to integrate AI with their internal data. The FedRAMP Moderate designation specifically permits cloud services to handle sensitive but unclassified information, underscoring the importance of responsible AI governance in government applications.

Codex: Codex is OpenAI’s platform for coding agents, enabling skills, connectors, scheduled actions, and autonomous development tasks. Its cloud environment is coming soon through the FedRAMP-compliant ChatGPT Enterprise workspace. This supports private workspaces for development teams in government settings.
OpenAI: OpenAI develops advanced AI models and enterprise platforms including ChatGPT and APIs tailored for secure, professional use. It has achieved FedRAMP Moderate authorization for ChatGPT Enterprise and the API platform, allowing U.S. federal agencies to access cutting-edge AI in compliant environments. This expands AI deployment for government missions subject to agency policies.
GPT-5.5: GPT-5.5 is OpenAI’s latest frontier model designed for complex tasks like coding, research, data analysis, and agentic workflows with improved speed and reasoning. Federal agencies can now utilize it securely within the FedRAMP-authorized ChatGPT Enterprise environment. The model supports tool usage and understanding of intricate goals for real-world applications.

Agentic AI: GPT-5.5 powers agents for real work, enhancing capabilities in complex reasoning and tool integration for enterprise and government use.
FedRAMP Moderate: FedRAMP Moderate authorizes cloud services for U.S. federal systems handling sensitive but unclassified data, promoting accountable AI governance.
Government Adoption: The authorization enables agencies to integrate AI with internal data while meeting strict security and privacy requirements.