AWS News - 2026-10-27

Amazon Connect Customer now enables you to validate the outcomes of your customer experience flow actions during testing and simulation. In addition to confirming that an action started, you can now verify the data it returns when it completes, such as a Lambda function response, an Amazon Lex resolved intent, or the variables set by an Agentic CX block. When a test fails, you can pinpoint the exact action that returned an unexpected result instead of tracing it back from a downstream step, so you can resolve issues faster and launch flow changes with greater confidence.

To learn more about this feature, see testing and simulation in the Connect Customer administrator guide. For a complete list of testing and simulation capabilities available by AWS Region, refer to Availability of Connect Customer features by Region. To learn more about Amazon Connect Customer, an agentic AI solution that helps enterprises deliver exceptional customer experiences, visit the Amazon Connect Customer website.

Today, AWS announces light mode support in Amazon SageMaker Unified Studio for Identity Center (IDC) based domains. Customers can now configure the visual interface mode to match their preference, choosing between dark and light themes. With this launch, customers can set this visual preference in both IAM-based and IDC-based domains. 

Light mode helps improve readability in bright environments and provides a familiar visual experience for customers who prefer lighter interfaces. Combined with the existing dark mode, this update gives you full control over the appearance of your development environment, improving accessibility and reducing eye strain across varying lighting conditions. In SageMaker Unified Studio settings, you can choose 'Customize appearance' under your Profile settings to select between visual modes including dark mode, light mode, and device setting, which matches your operating system's setting. The setting persists across browsers and devices.

This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more, see the Amazon SageMaker Unified Studio User Guide.

Amazon Interactive Video Service (Amazon IVS) Low-Latency Streaming now provides a failover slate, an animated image that IVS displays to viewers when a broadcaster's stream is unexpectedly interrupted. Instead of a buffering wheel or frozen frame, viewers see the slate until the broadcaster reconnects. Live playback then resumes automatically, without viewers needing to refresh their player.

The failover slate helps you retain your audience during momentary disruptions and is ideal for broadcasters streaming from mobile devices or from locations with unreliable connectivity. You can enable the failover slate on new or existing channels and monitor slate activity with Amazon EventBridge events and Amazon CloudWatch metrics.

Amazon IVS is a managed live streaming solution designed to make low-latency or real-time video available to viewers around the world. Visit the AWS Region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available.

To learn more, see the Amazon IVS Failover Slate documentation.

Amazon WorkSpaces Core Managed Instances now supports the ModifyVolume API, which lets you change volume size, volume type, IOPS, or throughput in place, without detaching the volume or restarting the instance. Previously, changing storage capacity or performance on a deployed managed instance required rebuilding it.

With ModifyVolume, you can increase volume size up to 16,384 GiB, switch between supported Amazon EBS volume types, adjust IOPS for gp3, io1, and io2 volumes, and modify throughput for gp3 volumes. The API supports idempotency tokens to prevent duplicate changes, and you can track progress with the Amazon EC2 DescribeVolumesModifications operation.

ModifyVolume is available in all AWS Regions where Amazon WorkSpaces Core Managed Instances is available.

To get started, call ModifyVolume directly, or use it through your WorkSpaces Core partner solution once available. To learn more, see ModifyVolume in the WorkSpaces Instances API Reference and Limitations in the Amazon EBS User Guide, or visit WorkSpaces Core.

Today, AWS announces the general availability of OpenAI GPT-6.1 Terra on Amazon Bedrock. GPT-6.1 Terra expands the GPT-6 family with a balance of capability, speed, and cost efficiency for everyday workloads. 

As the newest model in the Terra line, GPT-6.1 Terra combines detailed visual reasoning, accurate computer use, and improved factuality and natural writing over GPT-5.6 Terra, for complex workflows. In OpenAI’s Agents’ Last Exam evaluation, it scored 15 percentage points higher than GPT-5.6 Terra, performed on par with GPT-6 Astra, and completed tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol. GPT-6.1 Terra offers balanced performance with input and output token prices at least 50% lower than those of GPT-6.1 Sol and GPT-5.6 Terra. It supports a context window of up to 1 million input tokens and accepts both text and image inputs. The Amazon Bedrock inference engine delivers the performance, security, and scale required for enterprise workloads. 

You can call GPT-6.1 Terra directly through Amazon Bedrock APIs or configure ChatGPT Work and Codex to use the model on Amazon Bedrock. Use it to draft proposals, interpret technical drawings, investigate codebases, and build agents that operate across business systems.  Established AWS controls help you secure workloads, govern access, and audit model invocation activity. 

You can get started 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.  

Amazon Elastic Container Registry (Amazon ECR) now supports replication backfill, enabling you to replicate existing images in your private registry to your configured replication registry destinations. Previously, replication only applied to images pushed after the replication configuration was enabled, requiring customers to manually retag images to trigger replication of preexisting images. With replication backfill, you can now replicate your full image catalog to new or existing destinations with a single API call.

Replication backfill is useful when expanding to a new AWS Region, validating disaster recovery readiness, updating replication rules, or ensuring complete image catalogs exist across Regions for compliance purposes. You can run up to ten backfill jobs concurrently, monitor progress and per-image results through new APIs, and stop a job at any time without deleting images that have already been replicated.

Replication backfill is available in all AWS Regions where Amazon ECR is available. To learn more, refer to the Amazon ECR user guide. 

Amazon Neptune Database now supports online index rebuild, a new capability that helps database administrators and application teams defragment Neptune indexes and reclaim unused storage space without taking their database offline. Over time, insert, update, and delete operations create gaps of unused space within data pages, keeping the VolumeBytesUsed metric artificially elevated even after data is deleted. This fragmentation increases I/O costs and degrades query performance for teams running Gremlin, openCypher, or SPARQL workloads at scale.

With online index rebuild, read and write queries continue uninterrupted on both the writer instance and read replicas throughout the entire rebuild process. You can target all indexes, only quad indexes, or only dictionary indexes, making this feature well-suited for post-deletion cleanup, periodic maintenance, storage limit management, and performance tuning on heavily fragmented databases. Tunable concurrency and write buffer size settings let you balance rebuild speed against workload impact, while built-in storage safety mechanisms protect against storage exhaustion during the operation.

Online index rebuild is available starting with Amazon Neptune engine release 1.5.0.0 on provisioned writer instances, in all regions where Amazon Neptune Database is supported. To learn more about configuring and running online index rebuild, including API references and tuning guidance, visit the Amazon Neptune documentation.

Amazon Bedrock now offers Canada cross-Region inference (CRIS) for Anthropic's Claude Haiku 5.5. Customers with strict data residency requirements can now keep inference processing entirely within Canada. Canada CRIS routes requests only between ca-central-1 (Canada Central) and ca-west-1 (Canada West, Calgary). This helps organizations in financial services, healthcare, the public sector, and other regulated industries meet federal and provincial data residency requirements.

Canada CRIS adds to the inference options already available to customers in Canada. US CRIS and global CRIS remain fully supported for Claude Haiku 5.5. Both route requests across a broader set of AWS Regions, and global CRIS also offers cost savings, which makes these options a good fit for workloads that don't require inference processing to stay in Canada.

Canada CRIS is designated as an inference profile with limited model selection. Future models and model versions might not be released for this profile. We recommend Canada CRIS for workloads that must keep inference processing within Canada. For more details, see Inference profiles with limited model selection in the Amazon Bedrock User Guide.

For the most current information about model availability in each Region, see Regional availability by models in the Amazon Bedrock User Guide. To get started with Claude models on Amazon Bedrock, visit the Amazon Bedrock console.

On October 26, 2026 Amazon announced a patch update for the following Amazon Corretto Long-Term Support (LTS) and Feature Release (FR) versions of OpenJDK. Corretto 27.0.1.0.11, 25.0.5.0.10, 21.0.13.0.11, 17.0.21.0.11, 11.0.33.0.10, and 8u512 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK.

Visit the Corretto home page to download Corretto 27, Corretto 25, Corretto 21, Corretto 17, Corretto 11, or Corretto 8. You can also get the updates on your Linux system by configuring a Corretto Apt, Yum, or Apk repo.

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A few weeks ago I presented to a small group of commercial and technology leaders from Brazilian agribusiness at the AWS office in São Paulo. My talk ran through where generative AI fits across the different stages of an agribusiness operation, and the point I kept returning to is that the markets we call traditional […]

Kiro を搭載した AWS Coding Plugin for SAP ABAP をリリースしました。SAP の ABAP Development Tools (ADT) と併せて Eclipse 上でスペック駆動開発 (SDD) を実現し、開発者とエージェントが協働して要件定義・設計・実装を進められます。IBM Consulting では、カスタム ABAP 拡張の開発時間を最大 30% 短縮し、開発後の不具合を最大 45% 削減しました。ECC から S/4HANA、BTP ABAP まで幅広いシステムに対応し、クリーンコアと RISE への移行を加速します。

Claude Haiku 5.5 が本日より Kiro IDE、CLI、Web、Crew のすべてで利用可能になりました。Claude 5.5 ファミリーで最も高速なモデルで、大量に実行され素早い応答が求められる作業を想定しています。Claude Haiku 4.5 から明確に進化しました。Haiku 5.5 の登場で、Claude 5.5 の 3 つのモデルがすべて Kiro で使えるようになります。最も難しい問題には Opus 5.5、日常的なコーディングには Sonnet 5.5 があり、処理量や速度が何より重要な場面では Haiku 5.5 が担います。

AI コーディングエージェントで ABAP を生成する際、スペックがなければ開発上の判断が記録に残りません。本記事では、Kiro CLI 上で動作する AWS Coding Plugin for SAP ABAP を使ったスペック駆動開発 (SDD) の進め方を紹介します。良い ABAP スペックの書き方、AI-DLC に沿ったスペックからトランスポートリリースまでの流れ、ステアリングファイルによるチーム標準の適用を解説します。スペックを Git に残すことで、ドキュメントのない既存プログラムにも変更のたびに最新の仕様が蓄積されます。

Bulletin ID: 2026-151-AWS
Scope: AWS
Content Type: Important (requires attention)
Publication Date: 10/26/2026 09:30 AM PDT

Description:

The AWS Cloud Development Kit (CDK) @aws-cdk/aws-redshift-alpha module provides experimental constructs that manage Amazon Redshift users, tables and privileges. We identified CVE-2026-115418, an issue where crafted user names, comments or passwords set in these constructs could change the SQL that runs with Amazon Redshift superuser privileges at deployment, including granting access to all cluster users. Exploiting the issue requires the ability to influence the CDK application's construct property values.

Impacted versions: <2.274.0-alpha.0

Please refer to the article below for the most up-to-date and complete information related to this AWS Security Bulletin.

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