All news with #amazon bedrock tag

🔎 Amazon Web Search on Amazon Bedrock is now generally available, providing a built-in server-side web search tool that enables OpenAI models to ground responses with current web knowledge while keeping data residency inside AWS and ensuring zero data egress. The feature eliminates the need for third-party search vendors, extra API keys, orchestration, and vendor security reviews by integrating via a single parameter in the existing API call and returning semantic snippets with citations.

🚀 GPT-5.6 Sol, Terra, and Luna on Amazon Bedrock now support 1 million token context windows, allowing full-codebase analysis, long-form document processing, and complete multi-turn histories in a single request. Models provide broader-context reasoning and more coherent outputs without chunking. Prompt caching with explicit cache breakpoints reduces repeated-context billing by 90%, and pricing aligns with OpenAI first-party rates. Availability varies by model across US East (N. Virginia and Ohio) and US West (Oregon) regions, accessible via the Bedrock Console or the Responses API on the bedrock-mantle endpoint.

🔔 AWS Config now supports 15 additional AWS resource types across services such as Amazon Bedrock, Amazon OpenSearch Serverless, and Amazon SageMaker. If recording for all resource types is enabled, AWS Config will automatically track these new additions. The new types are also available for use with Config rules and Config aggregators, improving discovery, assessment, audit, and remediation coverage across Regions where the resources exist.

📰 On July 30, OpenAI updated pricing for GPT-5.6 Terra and GPT-5.6 Luna, with GPT-5.6 Sol unchanged. Terra targets balanced production workloads with GPT-5.5-level performance at lower cost, while Luna is optimized for high-volume, low-latency inference and cost per token. Pricing on Amazon Bedrock now matches OpenAI first-party rates and usage counts toward existing AWS commitments.

🚀 xAI's Grok 4.3 is now available on Amazon Bedrock in AWS GovCloud (US‑West), adding another model provider option for government and regulated workloads. Grok 4.3 is a reasoning-first model with configurable reasoning effort and strong tool-use and instruction-following capabilities. It runs on the new Mantle inference engine to provide price-performance benefits, tool calling, structured output, and response streaming. The model is suited for enterprise scenarios like customer support, legal research, and financial Q&A.

🔒 The Gemma 4 family from Google DeepMind is now available on Amazon Bedrock in AWS GovCloud (US-West). The offering includes three variants—Gemma 4 31B, Gemma 4 26B-A4B, and Gemma 4 E2B—covering dense and MoE architectures with support for multimodal inputs, native function calling, and a 256K-token context window on the 31B variant. Bedrock enhancements target price performance, tool calling, structured output, reasoning, and streaming responses to support reliable generative AI workloads.

🔒 AWS now offers Claude Opus 5, the latest Opus model with optional zero data retention (ZDR) for enterprise customers. The model improves coding capabilities, long-running agents, and complex document analysis while supporting regional residency and AWS-managed features. Customers can access Opus 5 via Amazon Bedrock (ZDR by default) or Claude Platform on AWS (ZDR on request). The offering integrates with AWS billing, authentication, and governance features.

🔎 Amazon Bedrock AgentCore now sends traces, prompts, structured logs, and standard output to a single per-agent Amazon CloudWatch log group, consolidating previously separated telemetry. This removes the need to search across multiple log groups and enables scoping of IAM policies and CMK encryption at the agent level. New agents created from July 20, 2026 use this by default in supported regions; existing agents can enable it via an environment variable and ADOT 0.17.1+.

🚀 AWS GovCloud (US) now offers Claude Sonnet 5 on Amazon Bedrock for inference across GovCloud regions. Claude Sonnet 5 balances capability, cost, and speed, improving coding, agentic workflows, and knowledge work with fewer correction cycles. The launch also brings Claude Opus 4.8 to Bedrock runtime and Bedrock Mantle endpoints, with AWS-managed features such as Guardrails and regional data residency.

🚀 Amazon SageMaker AI now supports EC2 G7e instances in Asia Pacific (Seoul), Europe (London), and Asia Pacific (Tokyo). These instances include up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs (96 GB each), 5th Gen Intel Xeon processors, and up to 1,600 Gbps EFA networking, offering up to 2.3x inference performance versus G6e. G7e delivers up to 768 GB total GPU memory enabling single-node serving of medium-to-large LLMs up to 70B with FP8 precision and is suited for LLM inference, image/video generation, spatial and scientific computing.

🚀 Amazon EKS now supports Amazon EC2 placement groups and Elastic Fabric Adapter (EFA) configuration for node pools in EKS Auto Mode and the open-source Karpenter. These options let you choose EFA-only or standard ENI configurations on EFA-capable instances and control instance distribution with cluster, spread, or partition placement strategies. The features improve performance and availability for distributed training, inference, and production services and are available in all Regions where EKS operates.

🛠️ Amazon RDS for SQL Server now supports Microsoft SQL Server 2025 across Enterprise, Standard, and Developer editions. SQL Server 2025 integrates AI into the database engine, enabling T-SQL to call external REST endpoints and work with AWS services like Amazon Bedrock, Amazon SageMaker, Amazon S3, and AWS Lambda. Standard Edition capacity and features have been expanded, and a new free Developer edition is available for testing.

📢 AWS now includes standardized product metadata for Amazon Bedrock in AWS Data Exports (Cost and Usage Report), enabling FinOps and cloud teams to consistently attribute Bedrock spend. The update exposes attributes like model provider, model name, pricing unit, inference type, and feature, plus a unified product family name, available by default at no extra cost. CUR 2.0 surfaces these fields in the product map and pricing unit column for easy export to S3 and analysis with Athena or data warehouses.

🔄 Amazon OpenSearch Service now provides one‑click migration from legacy OpenSearch Dashboards to the new OpenSearch UI for both domains and serverless collections. This serverless, zero‑downtime interface enables unified observability and search across data sources while preserving tenants and saved objects. You can migrate into new or existing OpenSearch UI workspaces and choose whether to consolidate or retain multiple tenants per team. The capability is available in all Regions where OpenSearch UI is offered and is documented in the OpenSearch UI Help and Amazon OpenSearch Service Developer Guide.

🛡️ Amazon GuardDuty introduces AI Protection to extend threat detection to AWS AI services such as Amazon Bedrock and Amazon SageMaker. The feature continuously monitors AI workloads for threats like anomalous invocations, cost harvesting attacks, and prompt injection, using CloudTrail management and data events to surface suspicious activity. Findings integrate with AWS Security Hub for centralized triage and can be enabled per account or centrally via AWS Organizations, with a 30-day trial available for GuardDuty customers.

🚀 Amazon Bedrock now offers OpenAI's GPT-5.6 family—Sol, Terra, and Luna—via the Responses API on the bedrock-mantle endpoint. Sol targets flagship reasoning and advanced agentic coding, Terra balances performance and cost, and Luna prioritizes fast, affordable inference. Models support prompt caching with explicit breakpoints and regional availability in US East and US West regions.

🛠️ The new Amazon DocumentDB skill in the Agent Toolkit enables AI coding agents to provision, manage, migrate, optimize, and troubleshoot DocumentDB clusters using guided, best-practice workflows. The skill supports seven workflows including provisioning, schema design, MongoDB compatibility assessment, DMS migration with change data capture, performance tuning, a 41-check well-architected review, and major version upgrades. When used with the AWS MCP Server, agents can execute AWS CLI commands and diagnostic queries with IAM guardrails, CloudTrail logging, and sandboxed execution. The skill is also available standalone via the AWS CLI and is provided at no additional charge as part of the Agent Toolkit for AWS.

🔒 Researchers report an AWS EC2 instance acting as a LiteLLM proxy for Amazon Bedrock was compromised and used to deploy XMRig cryptomining malware. The intrusion highlights risk from AI gateways that centralize identities, permissions, and model access, making them high-value targets. Analysts observed SSH exposure, probable brute-force attempts, and suspicious IAM activity tied to model enumeration and persistence efforts. Darktrace assisted in timely detection and containment while urging tighter controls and telemetry correlation.

🛡️ AWS Config has expanded its set of managed rules with 191 additional checks covering services such as Amazon Bedrock, SageMaker, ECS, EKS, RDS, Redshift, S3, and CloudTrail. The new rules evaluate encryption, logging, public access, network security, data protection, and operational best practices. You can deploy rules individually or as part of a conformance pack in supported AWS Regions.

🔔 Amazon SageMaker Unified Studio Workflows now includes 19 new operators for Amazon Bedrock, Amazon S3 Tables, S3 Vectors, AWS Glue Data Catalog, and Amazon MWAA Serverless. These operators let users add tasks via the visual workflow creator to orchestrate services without writing custom integration code. The capabilities include managing Bedrock guardrails, provisioning and deleting S3 Tables and S3 Vectors, managing Glue Data Catalog assets, and triggering MWAA Serverless runs. This feature is available in all Regions where SageMaker Unified Studio is offered.