AWS details multi-environment setup for Claude Platform on AWS
AWS’s Machine Learning Blog outlines how organizations can configure Claude Platform on AWS (CPonAWS) to support three distinct environments—production workloads, developer laptops, and external services—while maintaining workspace-level isolation. The guide describes a three-account structure: a payer account for billing, an AI Services account hosting the CPonAWS subscription and workspaces,…
Key points
- Three-account structure: payer, AI Services (hosts CPonAWS), and workload accounts for inference access
- Workloads use SigV4 signing, developers get workspace-scoped API keys, external services use OIDC tokens
- Short-term OIDC tokens expire in 1 hour (configurable up to 12 hours) for external environments
The setup ensures no persistent credentials are stored, enforcing least-privilege access. For example, developers use long-lived API keys tied to a single workspace, while external workloads (e.g., GCP or CI/CD pipelines) authenticate via OIDC and generate time-limited tokens. The blog emphasizes security and cost tracking through AWS CloudTrail and cost allocation tags, though it does not cover production hardening beyond the initial setup.
Implementing Multi-Environment Access for Claude Platform on AWS
AWS Machine Learning Blog · 1 October 2026
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