aws-bedrock openai-models enterprise-governance codex-pricing agentic-workflows

OpenAI models route through AWS Bedrock now

GPT-5.5 and GPT-5.4 now run on Bedrock with AWS-native governance controls (IAM, VPC, KMS, CloudTrail), eliminating separate vendor relationships for enterprises already on AWS.

June 18, 2026

Summary

Teams with strict data governance contracts can now deploy OpenAI models without introducing new billing paths, vendors, or compliance overhead. Codex shifts from per-seat to pay-per-token pricing, materially changing cost structure for large developer teams.

Why it matters

Implementation verdict

Replaces direct OpenAI API calls for AWS-bound workloads and Codex licensing. Requires Bedrock setup, IAM policy configuration, and routing decisions (In-Region vs. Geo vs. Global). Governance controls are infrastructure-level only—CloudTrail logs API calls but not decision authorization, which blocks autonomous agentic workflows until accountability gaps close. Ready now for gated inference; defer mission-critical agents until governance story matures.

Sources

1.GPT-5.5 and GPT-5.4 are accessible through the Responses API on Bedrock's next-generation inference engine, with pricing matching OpenAI's direct rates
2.CloudTrail logs the API call. It does not log the decision rights. That gap is exactly where most pilots stall before production: technically green, accountability undefined.
3.More than 100,000 organizations already on Bedrock can now access OpenAI models without introducing a new vendor relationship, billing path, or governance process
4.used by more than 5 million developers weekly
5.AWS Bedrock is other companies' models running on separate dedicated AWS hardware. If you use Codex via Bedrock, OpenAI never sees your data or prompts because they stay sandboxed in an ephemeral Bedrock instance

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