Run OpenAI Codex on Amazon Bedrock With Existing AWS Security Controls

Developers frequently use AI coding tools to explore unfamiliar codebases, make updates, and handle routine engineering tasks. For platform teams, the main challenge is providing access to these tools without setting up an entirely separate model-access, identity, and operations stack. Organizations can route OpenAI Codex requests through Amazon Bedrock using supported models and existing cloud setups.

Choosing an Access Path for Your Pilot

Before rolling out the tool widely, teams should start with a small pilot using least-privilege access rules, which grant only the minimum permissions needed. There are several ways to connect Codex to Amazon Bedrock depending on organizational needs. Native AWS Access relies on standard cloud identity and security controls. An agent gateway provides managed infrastructure for routing and safety guardrails. Alternatively, a large language model gateway allows organizations to enforce custom controls directly in the request path.

Authentication and Configuration Steps

Integrating these tools requires proper authentication setup. Employees continue using their existing workforce identity providers, such as Okta, which connects to AWS IAM Identity Center to issue temporary credentials. Administrators must configure user groups, select approved regions and models, and verify permissions before enabling developers to run tests on non-production code repositories.