All news with #amazon bedrock tag

🔒 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.

🛡️ System prompts are core to generative AI applications and often include role definitions, tool descriptions, RAG context, and other proprietary instructions. This AWS Security Blog post explains why system prompt leakage is a persistent risk, highlights that it cannot be fully remediated today, and outlines practical mitigations. It recommends design principles such as minimization and avoiding sensitive data in prompts, and details controls available via Amazon Bedrock Guardrails and other mechanisms to reduce exposure and raise extraction difficulty.

🛡️ This post explains how Amazon Bedrock’s data retention modes work and the tools you can use to enforce zero retention across accounts and projects. It covers account-level modes (none, default, inherit, provider_data_share), how model requirements interact with your configured ceiling, and APIs that mandate retention. The article also describes project-level isolation via bedrock-mantle, organization-wide enforcement using SCPs, and practical steps to lock accounts to none.

🚀 Amazon RDS for Oracle now supports Oracle Database 26ai, Oracle's Long Term Support release, with integration to Amazon Bedrock providing access to foundation models such as Anthropic Claude, Amazon Nova, and Meta Llama. Oracle Database 26ai enables Select AI for generating and running SQL from natural language prompts and supports in-database RAG via Oracle AI Vector Search, avoiding the need for a separate vector store. The release also offers JSON Relational Duality Views and SQL Property Graphs and is available in Enterprise Edition across commercial and GovCloud regions.

🔧 Amazon Cognito now lets customers increase or decrease provisioned API rate limits on demand. Previously adjustments required Service Quotas requests and manual review; the new self-service model enables immediate changes via the Amazon Cognito console or new limit provisioning API operations. Rate limit changes take effect instantly and are available for adjustable API categories in all Regions where Cognito is offered. Pricing and setup guidance are provided in the Cognito pricing page and developer guide.

🚀 Amazon Bedrock AgentCore has increased default runtime quota limits to enable larger-scale agent workloads. The update raises active concurrent sessions to 5,000 in US East (N. Virginia) and US West (Oregon), and 2,500 in other supported Regions. All Regions now support 200 agent interactions per second and 25 new sessions per second, improving out-of-the-box throughput for agent deployments. Customers should review the AgentCore Quotas documentation and Developer Guide for details.