Clario, part of Thermo Fisher Scientific, uses Amazon Bedrock and Amazon Textract to automatically detect protected health information (PHI) and personally identifiable information (PII) across thousands of DICOM image slices in clinical trials, covering both metadata tags and text burned into the image pixels.
generalAI agents built on Amazon Bedrock AgentCore help clinical trial teams make fast, accurate enrollment decisions while keeping clinicians in control. This post shows how to architect an eligibility and safety screening agent using AWS HealthLake, AgentCore, and AgentCore Evaluations.
generalAmazon Bedrock now supports SpaceXAI Grok 4.6, SpaceXAI's latest flagship model built for long-running agents and ambitious interactive and visual work. Grok 4.6 offers a 500K context window and configurable reasoning efforts (low, medium, high, xhigh). Grok 4.6 builds on previous generations of Grok with a particular focus on staying with complex tasks across many steps, whether researching a topic, analyzing information, working across a codebase, or turning an idea into a polished application. According to SpaceXAI, it achieves frontier intelligence across several agentic coding and knowledge work benchmarks, matching other frontier models specialized for coding. With Bedrock, customers can access the model with enterprise-grade security and privacy, comprehensive monitoring and logging, and the flexibility to scale across AWS Regions with cross-Region inference. Grok 4.6 is available in all AWS Regions where Amazon Bedrock is offered. To get started, review the model card for Grok 4.6 in the Amazon Bedrock User Guide.
securityAmazon Bedrock now supports the OpenAI GPT-5.6 models (Terra and Luna) in India, with India Geo cross-Region inference. Customers with regulatory requirements of in-country inferencing can now use OpenAI models at scale ensuring that inferencing is processed within India. Cross-Region inference automatically routes inference requests across multiple AWS Regions to give you higher throughput, without you needing to manage capacity across multiple Regions. The new India Geo inference profiles—in.openai.gpt-5.6-terra for Terra and in.openai.gpt-5.6-luna for Luna—route requests only within the India geography, across AWS Regions such as Asia Pacific (Mumbai) and Asia Pacific (Hyderabad), so you can scale to meet demand while keeping data processed within India to meet data residency requirements. The models run on the bedrock-runtime endpoint with support for the Responses, Chat Completions, and Converse APIs, and work with the same account-level controls you already use for other models on Bedrock, including model invocation logging (deliverable to Amazon S3 or Amazon CloudWatch Logs), Amazon CloudWatch metrics, and cost itemization in AWS Cost Explorer and the AWS Cost and Usage Report. OpenAI models with India cross-Region inference are available in the Asia Pacific (Mumbai) and Asia Pacific (Hyderabad) Regions. To get started, review the model cards for GPT-5.6 (Terra and Luna) and the Cross-Region inference section in the Amazon Bedrock User Guide.
featureAWS Identity and Access Management (IAM) now enables AWS workloads in the AWS European Sovereign Cloud (Germany) Region to securely authenticate with external services using short-lived JSON Web Tokens (JWTs). The AWS European Sovereign Cloud is an independent cloud for Europe entirely located within the European Union (EU), designed to help customers meet their evolving sovereignty requirements. With outbound identity federation, AWS workloads can securely authenticate with third-party cloud providers, SaaS providers, and self-hosted applications without using long-term credentials or implementing complex workarounds. Customers can exchange their AWS IAM credentials for cryptographically signed, short-lived JWTs, providing a simple and secure mechanism to access external services. These tokens contain rich context about the AWS workloads, enabling external services to implement fine-grained access control. Administrators can control access to token generation and enforce token properties (such as lifetime, audience, and signing algorithms) using IAM policies and audit token usage using CloudTrail logs, allowing them to meet their organization's security and compliance requirements. To learn more, visit the outbound identity federation product page, see the IAM user guide, or read the AWS News Blog Post.
featureOn Aug 18, 2026, Amazon announced critical security patch update (CSPU) for Amazon Corretto Long-Term Support (LTS) and Feature Release (FR) versions of OpenJDK. Corretto 26.0.2.11.1, 25.0.4.8.1, 21.0.12.9.1, 17.0.20.10.1, 11.0.32.10.1, and 8u504 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. Visit Corretto home page to download Corretto 26, 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. Feedback is welcomed!
securityWhen deploying AI agents with Amazon Bedrock AgentCore, organizations benefit from built-in modern support for OAuth 2.0, AWS Identity and Access Management (IAM), and API key authentication through Amazon Bedrock AgentCore Gateway. However, some enterprise environments still use legacy authentication mechanisms such as HTTP Basic Authentication (Basic Auth) (RFC 7617). The extensible architecture of AgentCore […]
releaseToday, AWS announces the general availability of AgentCore payments, a capability within Amazon Bedrock AgentCore that enables AI agents to autonomously discover, access, and pay for paid APIs, MCPs, and content with just a few lines of code. AgentCore payments provides the security, guardrails, and observability enterprises need to deploy transacting agents in production at scale. AgentCore payments integrates with Coinbase and Stripe Privy wallets for microtransactions, provides payment orchestration across protocols, enforces configurable payment limits at the infrastructure layer, and delivers end-to-end observability through AgentCore Observability. At general availability, AgentCore payments includes Quick Create for Coinbase credential provisioning directly within the AgentCore console, a curated Coinbase Bazar MCP server of pay-per-use x402 endpoints via AgentCore gateway, support for the Machine Payment Protocol (MPP), and the "upto" scheme in the x402 protocol for pay-per-inference and dynamic pricing use cases. Developers can get started using coding assistant skills such as Claude Code, Kiro, and Codex, AgentCore CLI, or AWS Management Console - follow this link. AgentCore payments is available in the regions listed here. To learn more, visit the AgentCore payments documentation or the AWS News Blog. To learn about pricing, visit AgentCore pricing.
securityAmazon SageMaker Unified Studio now supports data profiling and anomaly detection, powered by AWS Glue Data Quality. Data stewards, engineers and analysts can generate statistical profiles of their data to understand its shape and completeness, and track how these statistics change over time. Anomaly detection helps identify when data points drift from historical patterns without requiring predefined thresholds or custom rules. These capabilities are available for both data at rest in catalog tables and data in transit within Visual ETL jobs. With this launch, a dedicated Data profile tab on catalog tables provides on-demand and scheduled profiling that computes dataset-level and column-level statistics. As profile history accumulates, anomaly detection builds a baseline of expected behavior and flags data points that fall outside the predicted range. This is particularly useful when you may not be aware of specific thresholds, or when expected values change over time and fixed rules could become stale. For data in transit, the same profiling statistics and anomaly detection are available on the results page of any Visual ETL job with an Evaluate Data Quality transform. This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more, visit the Amazon SageMaker Unified Studio documentation.
releaseStarting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i instances are available in the Israel (Tel Aviv) region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% higher performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i. R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, the highest among all comparable machines in on-premises and cloud environments, delivering exceptional performance for mission-critical SAP workloads. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new R8i instances visit the AWS News blog.
releaseStarting today, Amazon RDS for PostgreSQL 19 Beta 3 is available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 19 on Amazon RDS for PostgreSQL. PostgreSQL 19 Beta 3 adds new capabilities for query performance and autovacuum management. The new pg_stat_autovacuum_scores view helps you monitor and tune autovacuum prioritization. Parallel autovacuum can now use multiple workers to speed up maintenance on large tables. The new pg_plan_advice module lets you lock in efficient query plans to avoid unexpected slowdowns. Eager aggregation improves analytical queries by grouping data earlier, so queries process fewer rows and complete faster. Beta 3 also includes bug fixes and stability improvements from the Beta 2 testing period. Refer to the PostgreSQL community announcement for more details. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the Preview Environment can only be used to create or restore database instances within the Preview Environment. You can use the PostgreSQL dump and load functionality to import or export your databases from the Preview Environment. Amazon RDS Database Preview Environment database instances are priced as per the pricing in the US East (Ohio) Region.
previewAWS announces availability of nested virtualization for Amazon WorkSpaces Personal and Amazon WorkSpaces Core Managed Bundles. With nested virtualization enabled, developers can run Docker Desktop, WSL2, and other hypervisor-dependent tools directly on their Windows WorkSpaces, and KVM-based workloads, Android emulators, and nested containers on their Linux WorkSpaces — without needing separate physical hardware or workaround environments. Nested virtualization is supported on license-included (public and custom) bundles, Bring Your Own License (BYOL) bundles, and Bring Your Own Protocol (BYOP) bundles running Windows Server 2019, Windows Server 2022, Windows Server 2025, Windows 11, Ubuntu 22.04, Ubuntu 24.04, Red Hat Enterprise Linux 8, Red Hat Enterprise Linux 9, Rocky 8, or Rocky 9 with DCV protocol. Power (4 vCPU) or higher is recommended. Nested virtualization is not supported on GPU bundles, the PCoIP protocol, or Amazon WorkSpaces based on Windows Server 2016, Windows 10, and Amazon Linux 2. Administrators can enable or disable nested virtualization at the individual workspace level through the console, API, or CLI. You can get started by enabling nested virtualization on your WorkSpaces through the console or CLI. For more information, visit the Amazon WorkSpaces documentation on Nested Virtualization. Nested virtualization is available in all AWS Regions where Amazon WorkSpaces is available, excluding China (Ningxia) Region and Israel (Tel Aviv) Region. For pricing information, visit Amazon WorkSpaces pricing page.
generalAmazon S3 Metadata and annotations are now available in AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions, giving you the easiest and fastest way to discover, understand, and enrich your S3 data. S3 Metadata automatically captures system-defined details like object size and source, and stores them in Amazon S3 Tables, optimized for near real-time tabular queries that simplify business analytics and real-time inference applications. Annotations extend S3 Metadata so you can attach rich business context directly to your objects in JSON, XML, or YAML, with up to 1 GB per object. This gives your AI agents and analytics tools the context they need to find and use the right data without building or maintaining separate metadata systems. Annotations share the same durability and consistency properties as the object, move with the object during copy and replication operations, and are removed when the object is deleted. This makes it easy to keep context current as your data evolves. Annotations are available in all AWS Regions and AWS GovCloud (US) Regions. For a full list of AWS Regions where Amazon S3 Metadata is available, including the annotation table, see the S3 Metadata AWS Regions. To learn more, visit the product page, documentation, and the Amazon S3 pricing page.
featureAmazon Relational Database Service (Amazon RDS) for Oracle now supports Oracle APEX version 26.1. Amazon RDS for Oracle is a managed database service that makes it simple to set up, operate, and scale Oracle Database deployments in the cloud. Oracle APEX is a low-code development platform that enables developers to build scalable, secure enterprise applications with modern user interfaces. To learn more about the latest features of Oracle APEX 26.1, see Oracle’s APEX Release 26.1 documentation. For more details on supported Oracle APEX versions and how to add or modify Oracle APEX options for your RDS for Oracle database, visit the Amazon RDS for Oracle APEX Documentation. Oracle APEX version 26.1 is available in all AWS regions where Amazon RDS for Oracle is available. See Amazon RDS for Oracle Pricing for regional availability.
generalAmazon Simple Email Service (SES) now makes it easier to support mobile deep linking with the new ses:custom-path HTML attribute. When you add this attribute to an <a> tag, SES carries your path segment through to the tracking URL, so mobile operating systems can match it to your app's Universal Links (iOS) or App Links (Android) configuration. This enables you to use mobile deep linking without disabling engagement tracking. This feature is available in all AWS Regions where Amazon SES is available. To use this feature, you need a custom redirect domain for click tracking with an Apple App Site Association (AASA) or Digital Asset Links verification file hosted on that domain. Then, add the ses:custom-path attribute to links in your HTML emails. To learn more, see Configuring custom domains to handle open and click tracking and the Amazon SES email sending metrics FAQs in the Amazon SES Developer Guide.
featureAmazon Redshift now offers rg.large and rg.12xlarge instance sizes for RG instances in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. RG instances deliver better performance, running data warehouse and data lake workloads up to 2.4x as fast as previous generation RA3 instances, at 30% lower price per vCPU. RG instances include Redshift's custom-built vectorized data lake query engine that processes Apache Iceberg and Parquet data on your cluster nodes, enabling you to run SQL analytics across your data warehouse and data lake using a single engine. rg.large and rg.12xlarge instance sizes are available on patch version P202 and later. Customers can resize existing RG or RA3 clusters to these new instance sizes using Elastic Resize or Classic Resize. Customers with existing RA3 clusters can also upgrade to RG using Snapshot & Restore. RG instances are available in four instance sizes: rg.large, rg.xlarge, rg.4xlarge, and rg.12xlarge. RG instances are available with flexible pricing options, including On-Demand, and 1-year and 3-year Reserved Instances with All Upfront, Partial Upfront, and No Upfront payment options. For pricing details, visit the Amazon Redshift pricing page . To get started, refer to the following resources: Amazon Redshift RG Instance Documentation RA3 to RG Upgrade Guide Amazon Redshift Pricing
releaseLearn how parameterized query templates reduced Text2SQL latency by 80% and cut token consumption by over 50%. This post covers the architecture behind an intelligent caching layer that uses semantic similarity to match user questions to SQL templates, bypassing expensive LLM calls.
generalLearn how Adobe Firefly achieved 28x faster GPU metric queries by migrating from self-managed Prometheus to Amazon Managed Service for Prometheus, with improvements in query performance, infrastructure reliability, and operational efficiency.
generalWhen you build a new application or capability on Amazon Web Services (AWS), you want to focus on what you’re building. Getting a service running almost always begins with AWS Identity and Access Management (IAM). Many AWS services that act on your behalf need an IAM role, an identity the service assumes to access your […]
generalToday, AWS announces the addition of an interactive map view to AWS Global View in the AWS Management Console, providing a visual way to explore AWS Global Infrastructure. Previously, customers had to scan through a list of AWS locations in AWS Global View. With this new capability, customers can toggle between the interactive map view and the existing list view, making it easier to visualize their global AWS infrastructure footprint. When customers select the map view, they will see all AWS Regions and AWS Local Zones plotted on an interactive map. This capability helps customers make informed infrastructure planning decisions by visualizing already enabled AWS locations and the full range of AWS locations available to them, all in a single glance. This capability is available across all public AWS Regions. To get started, navigate to the Regions and Zones page in AWS Global View console. For more information, see the AWS Global View documentation.
featureUpdates, releases, and news
