Amazon Quick now supports multi-account sign-in within the same browser

Today, AWS announces multi-session support for Amazon Quick, which enables customers to access up to five Amazon Quick accounts simultaneously within the same browser. The feature also includes the Amazon Quick account name in all URLs, enabling users to easily access the correct account when opening agents, spaces, flows, research reports, dashboards, and other assets. Customers use multiple accounts for different environments such as development, testing, and production, and compare insights and resource configurations across multiple accounts for troubleshooting and other application-related jobs. Using multi-session capability in Amazon Quick, customers can now sign in to multiple accounts and manage their resources in a single browser. You can sign in to another account by accessing the Amazon Quick top right menu and selecting the option to sign in to another account. For users accessing global URLs without an account name, Amazon Quick presents an account input page that pre-populates the accounts they are logged into, allowing them to select the desired account. You have the option to log out of the current session in the specific browser tab or log out of all sessions. Amazon Quick multi-account sign-in is available in all supported Amazon Quick regions. To learn more about this, visit Amazon Quick Signing In
Quelle: aws.amazon.com

Claude Opus 4.7 is now available in Amazon Bedrock

Amazon Bedrock, the platform for building AI applications and agents at production scale, now offers Claude Opus 4.7– Anthropic’s most capable Opus model to date — delivering meaningful improvements across agentic coding, professional work, and long-running tasks for developers and enterprises building production AI applications. 
Claude Opus 4.7 is an upgrade from Claude Opus 4.6, with stronger performance across the workflows teams run in production. Opus 4.7 works better through ambiguity, is more thorough in its problem solving, and folllows instructions more precisely. For coding, the model extends agentic capabilities with improved long-horizon autonomy, systems engineering, and complex code reasoning. For knowledge work, Claude Opus 4.7 advances professional tasks such as slides and document creation, financial analysis, and data visualization. For long-running tasks, the model stays on track over longer horizons with improved reasoning and memory capabilities. Claude Opus 4.7 also advances visual capabilities with high-resolution image support improving accuracy on charts, dense documents, and screen UIs where fine detail matters.  
Claude Opus 4.7 is served through Amazon Bedrock’s next-generation inference engine, delivering enterprise-grade infrastructure for production workloads. It provides zero operator data access, meaning customer prompts and responses are never visible to Anthropic or AWS operators, keeping sensitive data private. It also enables enhanced availability through dynamic traffic routing with expanded in-region options, along with improved scalability.
Claude Opus 4.7 is available in select AWS Regions. To learn more about Claude Opus 4.7 and other Anthropic models available in Amazon Bedrock, visit the Amazon Bedrock page. To get started, see the Amazon Bedrock documentation. 
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AWS Elastic Disaster Recovery is now available in the AWS European Sovereign Cloud

AWS Elastic Disaster Recovery (AWS DRS) is now available in the AWS European Sovereign Cloud, enabling organizations with data sovereignty requirements to protect their mission-critical workloads with disaster recovery on AWS. AWS DRS minimizes downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, minimal compute, and point-in-time recovery, with Recovery Point Objectives (RPOs) measured in seconds and Recovery Time Objectives (RTOs) typically in minutes. With AWS DRS, you can recover applications from physical infrastructure, VMware vSphere, Microsoft Hyper-V, and cloud infrastructure. AWS DRS uses a unified process for testing, recovery, and failback for a wide range of applications, including critical databases such as Oracle, MySQL, and SQL Server, and enterprise applications such as SAP. AWS Elastic Disaster Recovery is available in the AWS European Sovereign Cloud (Germany). See the AWS Regional Services List for the latest availability information. To learn more about AWS Elastic Disaster Recovery, visit our product page or documentation.
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AWS Payment Cryptography now available in South America (São Paulo)

AWS Payment Cryptography has expanded its global presence with availability in South America (São Paulo). This expansion enables customers with latency-sensitive payment applications to build, deploy or migrate into additional AWS Regions without depending on cross-region support.
AWS Payment Cryptography is a fully managed service that simplifies payment-specific cryptographic operations and key management for cloud-hosted payment applications. The service scales elastically with your business needs and is assessed as compliant with PCI PIN and PCI P2PE requirements, eliminating the need to maintain dedicated payment HSM instances. Organizations performing payment functions – including acquirers, payment facilitators, networks, switches, processors, and banks can now position their payment cryptographic operations closer to their applications while reducing dependencies on auxiliary data centers with dedicated payment HSMs.
AWS Payment Cryptography is available in the following AWS Regions: Canada (Montreal), US East (Ohio, N. Virginia), US West (Oregon), Europe (Ireland, Frankfurt, London, Paris), South America (São Paulo), Africa (Cape Town) and Asia Pacific (Singapore, Tokyo, Osaka, Mumbai, Hyderabad).
To start using the service, please download the latest AWS CLI/SDK and see the AWS Payment Cryptography user guide for more information.
Quelle: aws.amazon.com

AWS announces general availability of AWS Interconnect – multicloud

AWS announces general availability (GA) of AWS Interconnect – multicloud, providing simple, resilient, high-speed private connections to other cloud service providers (CSPs). With GA comes Google Cloud as the first launch partner, with Microsoft Azure and Oracle Cloud Infrastructure (OCI) coming later in 2026.
Customers have been adopting multicloud strategies while migrating more applications to the cloud. They do so for many reasons including interoperability requirements, the freedom to choose technology that best suits their needs, and the ability to build and deploy applications on any environment with greater ease and speed. Previously, when interconnecting workloads across multiple cloud providers, customers had to go the route of a ‘do-it-yourself’ multicloud approach, leading to complexities of managing global multi-layered networks at scale. AWS Interconnect – multicloud is the first purpose-built product of its kind and a new way of how clouds connect and talk to each other. Simplifying connectivity into AWS, Interconnect – multicloud enables customers to quickly establish private, secure, high-speed network connections with dedicated bandwidth and built-in resiliency between their Amazon VPCs and other cloud environments. Interconnect – multicloud makes it easy to connect AWS resources or VPCs to other CSPs. Customers can also quickly scale connectivity to multiple VPCs or Regions via associating Interconnect with other networking services such as AWS Transit Gateway and AWS Cloud WAN, instead of taking weeks or months. Interconnect – multicloud introduces a new, single-fee pricing structure based on the customer’s selected bandwidth and the geographical scope of the connectivity to other CSPs. Customers can also use one free, local 500Mbps interconnect per Region starting in May. To learn more please see the Interconnect – multicloud Pricing documentation page.
Interconnect – multicloud is available in five AWS Regions. You can enable this capability using the AWS Management Console, Command Line Interface (CLI), or API, and CSPs can also adopt via a published open API package on GitHub. For more information, see the AWS Interconnect – multicloud documentation and pricing pages.
Quelle: aws.amazon.com

Amazon Quick Introduces Sheet Tooltips for Rich, Contextual Data Exploration

Quick Sight in Amazon Quick now supports sheet tooltips, enabling authors to surface rich, contextual detail when viewers hover over data points — without disrupting their analysis flow. Sheet tooltips allow authors to create dedicated tooltip sheets containing visuals, text boxes, and images arranged in a free-form layout. When a viewer hovers over a data point, the tooltip sheet automatically inherits all filters from the source visual and applies an additional filter for the specific data point, delivering an instant, focused breakdown.
This enhancement helps organizations build more intuitive dashboards that reduce the need for multiple sheets or manual navigation. For example, a bar chart showing sales by product category can surface a trend line of monthly sales, a year-over-year growth KPI, and a text box with the category name — all filtered to whichever category the viewer hovers over. Authors can assign one tooltip sheet to multiple visuals, switch between basic, detailed, and sheet tooltip types at any time, and tables and pivot tables are also supported. Sheet tooltips are available on interactive sheets only.
This feature is now available in all Amazon Quick regions where Quick Sight is supported. Learn more about how to use sheet tooltips in Amazon Quick and read more about this new feature in our blog post.
Quelle: aws.amazon.com

AWS Secrets Manager now supports hybrid post-quantum TLS to protect secrets from quantum threats

AWS Secrets Manager now supports hybrid post-quantum key exchange using ML-KEM (Module-Lattice-based Key-Encapsulation Mechanism) to secure TLS connections for retrieving and managing secrets. This protection is automatically enabled in Secrets Manager Agent (version 2.0.0+), AWS Lambda Extension (version 19+), and Secrets Manager CSI Driver (version 2.0.0+). For SDK-based clients, hybrid post-quantum key exchange is available in supported AWS SDKs including Rust, Go, Node.js, Kotlin, Python (with OpenSSL 3.5+), and Java v2 (v2.35.11+).
With this launch, your applications retrieve secrets over TLS connections that combine classical key exchange with post-quantum cryptography, helping protect against both traditional cryptographic attacks and future quantum computing threats known as “harvest now, decrypt later” (HNDL). No code changes, configuration updates, or migration effort are required for customers using the latest client versions except for Java v2. For example, a microservice requiring multiple secrets at startup can now retrieve them over quantum-resistant TLS connections by simply upgrading to the latest Secrets Manager Agent version. You can verify hybrid post-quantum key exchange is active by checking CloudTrail logs for the “X25519MLKEM768″ key exchange algorithm in the tlsDetails field of GetSecretValue API calls.
Hybrid post-quantum key exchange using ML-KEM for AWS Secrets Manager is available in all AWS Regions where AWS Secrets Manager is supported. To learn more, visit the AWS Secrets Manager documentation and the AWS Post-Quantum Cryptography migration page.
Quelle: aws.amazon.com

AWS Transform is now available in Kiro and VS Code

AWS Transform is now available through two additional developer tools — including Kiro and VS Code. AWS Transform is an agentic migration and modernization factory designed to compress enterprise transformation timelines from years to months — handling everything from large-scale infrastructure migrations to continuous tech debt reduction, without the manual handoffs and lost context that commonly stall these programs..
With today’s launch, you can get started with AWS Transform custom transformations from wherever you already work: install the AWS Transform Power in Kiro, or install the AWS Transform extension in VS Code . AWS Transform custom transformations help you crush tech debt at scale — choose from AWS-managed transformations for common patterns like Java, Python, and Node.js version upgrades, AWS SDK migrations (boto2 to boto3, Java SDK v1 to v2, JS SDK v2 to v3), or define your own. These new surfaces make it easier to discover additional capabilities as they become available, build and iterate on your own custom transformations, and run any agent repeatedly or across thousands of repositories at once. The custom transformations are the first in a growing library of playbooks coming to developer tools, complementing the existing AWS Transform web console and CLI so you can start a job in your IDE, track progress in the web console, and finish transformations wherever it makes sense — with job state and context shared across every surface.
AWS Transform supports deploying to all AWS commercial regions,and AWS Transform custom is available in US East (N. Virginia) and Europe (Frankfurt). To learn more, visit the AWS Transform product page and user guide.
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Amazon EC2 P6-B300 instances are now available in the AWS GovCloud (US-East) Region

Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the AWS GovCloud (US-East) Region. P6-B300 instances provide 8x NVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory. P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) and large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads. P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon) and AWS GovCloud (US-East). To learn more about P6-B300 instances, visit Amazon EC2 P6 instances.
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Amazon Quick now supports document-level access controls for Google Drive knowledge bases

Amazon Quick now supports document-level access controls (ACLs) for Google Drive knowledge bases, enabling organizations to maintain native Google Drive permissions when indexing content. Quick combines ACL replication for efficient pre-retrieval filtering with an additional layer of real-time permission checks directly with Google Drive at query time. This dual approach means you get the performance benefits of indexed ACLs while also guarding against stale or incorrectly mapped permission data. When a user submits a query, Quick verifies their current permissions with Google Drive before generating a response—ensuring answers are based on live access rights. With document-level access controls, Amazon Quick now respects individual file and folder permissions from Google Drive. This feature is available in all AWS Regions where Amazon Quick is available.
To get started, create or update a Google Drive knowledge base in the Amazon Quick console and configure document-level access controls in your integration settings. For more information, see Google Drive integration in the Amazon Quick User Guide.
Quelle: aws.amazon.com