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AWS and OpenAI release guidance on enterprise deployment of the Codex product via Amazon Bedrock

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AWS and OpenAI have released guidance on enterprise deployment of the Codex product via Amazon Bedrock with three access paths (Native AWS Access, AgentCore Gateway, LLM Gateway) and control over identity, policies, and telemetry.

AWS and OpenAI have released guidance on how to deploy the Codex tool in an enterprise environment via Amazon Bedrock, without platform teams having to build a separate stack for model access, identity, and operations. Codex continues to run on the developer's workstation; what's mainly being addressed is how its requests to the model travel to Amazon Bedrock and where the organization applies policies and operational controls.

The guidance describes three access paths: Native AWS Access, AgentCore Gateway (part of Amazon Bedrock AgentCore), and LLM Gateway. According to the companies' recommendations, organizations should start with Native AWS Access as a small pilot deployment with least privilege. AgentCore Gateway is suitable if a company wants to use AWS managed gateway infrastructure for centralized routing or Amazon Bedrock Guardrails; LLM Gateway is chosen if the platform team wants to enforce controls directly in the request path. According to the guidance, a custom integration is a more advanced version of the LLM Gateway pattern and requires that it be owned from the start by the platform engineering and security teams.

Enterprise deployment involves authentication via AWS IAM Identity Center and Okta using SAML, with Okta handling user login and provisioning into Identity Center via SCIM. The open repository Guidance for Codex on AWS contains quick starts for Native AWS Access, AgentCore Gateway, LiteLLM on ECS, Portkey, and monitoring via AWS Distro for OpenTelemetry. The pilot procedure involves verifying access to Amazon Bedrock Runtime, configuring the Codex provider, and testing with two separate users to verify identity isolation.

A part of the source article with further technical details was not available. See the source article for more details.

What changed

Why it matters

Platform and security teams that want to deploy Codex within a company can, according to the recommended procedure, start with a small pilot with least privilege and gradually expand access, without having to build new infrastructure for identity and model management from scratch. The guidance also clearly separates which variant (Native AWS Access, AgentCore Gateway, LLM Gateway) fits which control requirements and who in the organization should be responsible for it.

Two audiences, two different impacts

What this means

01

For individuals

A developer using Codex continues to log in via the existing identity provider (e.g. Okta), and Codex keeps running on their workstation the same way as before; the only difference is that the platform team sets the provider configuration and the approved model/region according to the chosen corporate path.

What to do Check with the platform team which access path to the Codex product the organization has chosen, and follow the approved settings when configuring the provider (model, profile, region).
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02

For a business

Platform and security teams get concrete architectural variants (Native AWS Access, AgentCore Gateway, LLM Gateway) and a checklist for identity, routing, policies, telemetry, and usage allocation, allowing them to deploy Codex without building a separate stack for managing access to models.

Processes
What to decide Consider a pilot deployment of the Codex product with Native AWS Access and a least-privilege policy, following the open-source repository Guidance for Codex on AWS, before expanding access to additional users.
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Amazon Bedrock AWS Codex enterprise Model Context Protocol

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Event sources

only one source so far · 1 publisher, 0 independent. We count feeds from the same owner only once.

1
AWS Machine Learning Blog primary source · first detected OpenAI Codex on Amazon Bedrock