9/22/2026, 12:00:00 AM ~ 9/23/2026, 12:00:00 AM (UTC)

Recent Announcements

Billing Transfer now supports automatic billing group creation for two-level transfers

AWS Billing Transfer users can now enable the Auto-Billing Transfer Billing Group Creation, a new AWS Billing Conductor preference that eliminates the manual billing group configuration in two-level billing transfer arrangements. Designed for AWS Distributors managing billing for downstream seller Partners and their end customers, this feature automatically creates billing groups when an end customer accepts a billing transfer from a downstream seller Partner, ensuring pro forma cost data is immediately available to the Partner, with no extra manual configuration.\nAuto-Billing Transfer Billing Group Creation is a one-time preference configuration per inbound transfer relationship, enabling you to request the creation of a billing group for any new indirect transfer coming through your Partners’ account, as well as being able to specify an AWS Billing Conductor pricing plan for the billing groups created automatically.  The preference is accessible through two new API operations and through the AWS Management Console in the Billing Transfer details page.  To learn more about Auto-Billing Transfer Billing Group Creation and how to configure your billing transfer preferences, visit the AWS Billing Conductor documentation.

OpenAI GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock 

Today, AWS announces the general availability of GPT-6 Sol and GPT-6 Luna from OpenAI on Amazon Bedrock. Expanding the GPT-6 family alongside Astra, these two models give teams more ways to balance intelligence, speed, and cost across every workload. Sol is the daily model for recurring complex tasks and software development. On an internal OpenAI factuality evaluation, it makes roughly half as many mistakes as GPT-5.6 Sol. Luna is the family’s most efficient model for focused, high-volume tasks such as summarization, extraction, classification, and routing. Both models support up to 1M tokens of context. The Amazon Bedrock inference engine delivers the performance, security, and scale required for production workloads.\nGPT-6 Sol can implement features, debug issues, review and refactor code, analyze data, and complete multistep workflows across tools. Improvements in coding and computer use help it carry tasks from investigation through validation. GPT-6 Luna handles high-volume workloads like extraction, summarization, classification, and routing, with adjustable reasoning effort to balance quality, speed, and cost per request. Established AWS controls help you secure workloads, govern access, and audit model invocation activity. You can get started with GPT-6 Sol and GPT-6 Luna in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation. To learn more, read the blog.

Claude Opus 5.5 is now available on AWS GovCloud (US)

AWS GovCloud (US) now offers Claude Opus 5.5, Anthropic’s most capable Opus model yet and, the first of the Claude 5.5 model family, a better collaborator that handles long-running coding and knowledge work, reporting back clearly on what it did, what it found, and what it needs next.\nAccording to Anthropic, Claude Opus 5.5 completes tasks using fewer tokens than Claude Opus 5, at a lower price per token, with cheaper cache reads stacking on top of the efficiency gain. Claude Opus 5.5 is the enterprise workhorse, a clear step up from Opus 5 on the work teams count on Opus to do. It handles long-running coding and knowledge work, and reports back like a good teammate, surfacing what it did, what it found, and what it needs from you. It thinks adaptively on every request, deciding how much effort each task needs.   Amazon Bedrock gives you Opus 5.5’s advanced capabilities with zero data retention (ZDR) support by default. It keeps your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock documentation and regional availability.

Claude Opus 5.5 is now available on AWS

AWS now offers Claude Opus 5.5, Anthropic’s most capable Opus model yet and, the first of the Claude 5.5 model family, a better collaborator that handles long-running coding and knowledge work, reporting back clearly on what it did, what it found, and what it needs next.\nAccording to Anthropic, Claude Opus 5.5 completes tasks using fewer tokens than Claude Opus 5, at a lower price per token, with cheaper cache reads stacking on top of the efficiency gain. Claude Opus 5.5 is the enterprise workhorse, a clear step up from Opus 5 on the work teams count on Opus to do. It handles long-running coding and knowledge work, and reports back like a good teammate, surfacing what it did, what it found, and what it needs from you. It thinks adaptively on every request, deciding how much effort each task needs. Customers have two ways to access Claude Opus 5.5: Amazon Bedrock and Claude Platform on AWS: Amazon Bedrock gives you Opus 5.5’s advanced capabilities with zero data retention (ZDR) support by default. It keeps your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock documentation and regional availability. Claude Platform on AWS gives you direct access to Anthropic’s native platform experience and capabilities via the AWS Console. Build, test, and deploy with the same APIs, features, and console experience you’d get working with Anthropic directly, unified with AWS billing and authentication. To get started, see the Claude Platform on AWS documentation.

AWS Security Hub AI Inventory adds Azure self-hosted instance support

AWS Security Hub AI Inventory now supports discovering and cataloging AI assets running on self-hosted instances in Microsoft Azure. This expansion extends Security Hub’s existing self-hosted discovery capabilities beyond AWS, enabling central security teams to gain a continuously updated, organization-wide view of AI assets and their security posture across multi-cloud environments.\nSecurity Hub leverages the software bill of materials (SBOM) analysis from Amazon Inspector, which has been enhanced to identify inference endpoints, models, and AI agents installed on Azure virtual machines, including frameworks such as Ollama, vLLM, Hugging Face TGI, and others. Each discovered AI asset is mapped to its underlying infrastructure and correlated with security findings, enabling teams to filter, group, and query their AI inventory across both AWS and Azure environments. This capability is included with Security Hub Essentials at no additional cost. It is available in all AWS commercial Regions where Security Hub is offered. To learn more, see the AWS Security Hub User Guide and the AWS Security Hub product page.

AWS Glue Data Quality delivers context-specific rule recommendations in seconds

AWS Glue Data Quality now generates data quality rules in seconds, reducing the time to establish data quality checks for your tables in the AWS Glue Data Catalog. You get a ready-to-use set of rules with full coverage across every column, with no manual setup—so you can move from raw data to trusted data faster while authoring pipelines.\nThis is delivered through a new Advanced mode for rule recommendations, in which AWS Glue Data Quality uses generative AI to detect the intent behind your data and proposes business-relevant rules that reflect how your data is used. You can use this Advanced mode to bootstrap rules for a newly onboarded dataset or establish baseline checks across a large data lake without hand-writing each rule. You review the recommended rules, adjust as needed, and save them as a ruleset to begin monitoring immediately. Advanced mode is available in the following AWS Regions: Asia Pacific (Melbourne, Osaka, Sydney, Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), US East (N. Virginia, Ohio), and US West (N. California, Oregon). To get started, see the AWS Glue Data Quality documentation.

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