Implementing Multi-Environment Access for Claude Platform on AWS

What happened
You will deploy a dedicated AI Services account within your organization and configure cross-account SigV4 for AWS workloads. Learn how to configure secure, multi-environment access to Claude Platform on AWS from a single subscription: cross-account SigV4 for AWS workloads, workspace-scoped API keys for developers, and OIDC federation for external environments, with workspace-level isolation in a dedicated AI Services account. Amazon Web Services is a cloud computing company based in Seattle.
You need Claude Platform on AWS (CPonAWS) inference from three environments: production workloads on AWS, developer laptops for local iteration, and external services on other cloud providers or on-premises continuous integration and continuous delivery (CI/CD) pipelines. Each environment has different authentication requirements, but all should share a single subscription with workspace-level isolation between production and development traffic. For organizations with additional environments, create a workspace per team or workload and repeat the cross-account role pattern for each.
Sources & evidence
- AWS Machine Learning Blog Primary / official
Implementing Multi-Environment Access for Claude Platform on AWS โ
https://aws.amazon.com/blogs/machine-learning/implementing-multi-environment-access-for-claude-platform-on-aws/