All news with #amazon bedrock tag

🔒 Amazon Bedrock now supports AWS PrivateLink for the bedrock-mantle endpoint, enabling private network access to OpenAI API-compatible service endpoints. The bedrock-mantle endpoint is powered by Project Mantle, a distributed inference engine that simplifies model onboarding and delivers serverless, high-performance inference with QoS controls and higher default quotas. This expansion gives enterprises a private connectivity option across multiple AWS Regions for building and scaling generative AI applications.

🚀Amazon increased default quotas for Anthropic’s Claude Sonnet 4.5 in Amazon Bedrock running in AWS GovCloud (US-West and US-East), raising throughput to 5,000,000 tokens per minute and 1,000 requests per minute. The 25× increase aligns GovCloud limits with commercial regions and lets regulated customers scale high-volume AI workloads more effectively. Consult the AWS GovCloud console and Bedrock documentation to get started.

🔒 Amazon Bedrock AgentCore Browser now accepts customer-provided proxy configurations, allowing organizations to route browser sessions through corporate or regional proxy infrastructure for geo-targeting, compliance, and stable egress addresses. The feature supports both HTTP and HTTPS protocols and integrates with AWS Secrets Manager for secure credential management. It is available in all 14 regions where AgentCore Browser is offered.

⚡ Amazon Athena now offers 1-minute Capacity Reservations and lowers the minimum reserved capacity to 4 Data Processing Units (DPUs). The feature provides dedicated serverless compute for workloads requiring query prioritization and concurrency controls, with no long-term commitments. You pay only for the capacity you reserve and there are no data-scanned charges; reservations attach to existing workgroups without SQL or application changes. AWS cites up to 95% cost savings for short-duration query workloads and enables more frequent, fine-grained capacity adjustments to match workload patterns.

🧭 Amazon Bedrock now supports six open-weights models — DeepSeek V3.2, MiniMax M2.1, GLM 4.7, GLM 4.7 Flash, Kimi K2.5, and Qwen3 Coder Next. These models span frontier reasoning, agentic intelligence, and autonomous coding while offering lower-cost inference options for enterprise workloads. They run on Project Mantle, a distributed inference engine that delivers serverless, high-performance model serving with OpenAI API compatibility, automated capacity management, quality-of-service controls, and higher default quotas for production deployment.

🔔 Amazon Neptune Analytics is now available in seven additional AWS Regions: Middle East (Bahrain), Middle East (UAE), Israel (Tel Aviv), Africa (Cape Town), Canada (Calgary), Asia Pacific (Malaysia), and Europe (Zurich). Neptune is a serverless graph database that automatically scales graph workloads, reduces operational overhead, and improves AI accuracy and explainability by modeling connected data. It also provides fully managed GraphRAG with Amazon Bedrock Knowledge Bases and integrates with the Strands AI Agents SDK and popular agentic memory tools to accelerate graph-powered AI development.

🔐 Amazon Bedrock AgentCore Browser now supports browser profiles that persist authentication state across sessions. You can authenticate once, save cookies and local storage to a profile, and reuse it to keep agents logged in without repeated manual logins. Profiles offer flexible read-only and persistent modes and enable parallel sessions to share authentication, cutting session setup from minutes to tens of seconds for high-volume automated workflows.

🚀 Claude Opus 4.6 is now available in Amazon Bedrock, delivering Anthropic’s most capable model for coding, agentic tasks, and professional workflows. It emphasizes advanced multi-step reasoning, proactive subagent orchestration, and long-horizon code development. The release supports preview context windows of 200K and 1M tokens and targets enterprise-grade reliability for complex automation and cybersecurity use cases.

🔧 Amazon Bedrock now offers structured outputs that return model responses conforming to user-defined JSON schemas, reducing the need for application-level validation. The capability, generally available in February 2026 for Anthropic Claude 4.5 and select open-weight models, supports schema definitions or strict tool definitions. It is available via the Converse and Invoke APIs across commercial AWS Regions where Bedrock is supported.

⚠️ Sysdig researchers observed an AI-assisted intrusion in November 2025 that converted exposed AWS credentials in a public S3 bucket into full administrative control in under eight minutes. The attackers exploited an IAM user with Lambda and limited Amazon Bedrock access, injected malicious code into an existing Lambda function, and generated admin keys from the function output. They then moved laterally across multiple principals, invoked multiple foundation models (LLMjacking), disabled model-invocation logging, and attempted to provision costly GPU instances to run ML workloads. Sysdig recommends enforcing least privilege, restricting UpdateFunctionCode and PassRole, protecting S3 buckets, enabling Lambda versioning, and turning on Bedrock logging.

🔧 Amazon Bedrock now supports server-side tools in the Responses API using OpenAI API–compatible service endpoints. With Bedrock invoking tools directly rather than relying on client orchestration, AI applications can perform real-time, multi-step actions—searching the web, executing code, and updating databases—within the governance, compliance, and security boundaries of your AWS accounts. Developers may supply custom Lambda functions or use AWS-provided tools such as notes and tasks. Server-side tool use is available today for OpenAI's GPT OSS 20B and GPT OSS 120B in multiple AWS regions, with broader model and region support coming soon.

🚀 Amazon Bedrock now offers a 1-hour time-to-live (TTL) option for prompt caching on select Anthropic Claude models. This extends cached prompt prefix persistence beyond the previous 5-minute default, improving cost efficiency and responsiveness for long-running agentic workflows and multi-turn conversations. The 1-hour TTL is generally available for Claude Sonnet 4.5, Claude Haiku 4.5, and Claude Opus 4.5 in commercial AWS Regions and AWS GovCloud (US) where those models are available. The 1-hour cache is billed at a different rate than the standard 5-minute cache.

🔧 Amazon Bedrock AgentCore Browser now supports Chrome-compatible extensions uploaded to Amazon S3 for automatic installation into secure browser sessions. This capability builds on AgentCore secure browser features to enable complex automation workflows that standard browser automation cannot address alone. Typical uses include custom authentication flows, automated testing, and improved navigation or performance through ad blocking. The feature is available in nine AWS Regions where AgentCore is supported.

🔒 Amazon Bedrock is expanding its Reserved service tier to provide predictable, guaranteed tokens-per-minute capacity and prioritized compute for mission-critical workloads. The Reserved tier lets customers allocate separate input and output tokens-per-minute capacities to match asymmetric workload needs and control costs, while automatically overflowing to the pay-as-you-go Standard tier when reserved capacity is exceeded. This offering is available today for Anthropic Claude Sonnet 4.5 in AWS GovCloud (US-West) with 1- and 3-month reservation options billed monthly.

🔒 Amazon Bedrock expands its Reserved service tier to provide predictable tokens‑per‑minute capacity for mission‑critical workloads. The tier lets customers reserve prioritized compute and separately configure input and output tokens‑per‑minute to match asymmetric usage patterns and control costs. When reserved capacity is exceeded, traffic automatically overflows to the pay‑as‑you‑go Standard tier to avoid interruptions. Reserved access is available today for Anthropic Claude Opus 4.5 and Claude Haiku 4.5, with 1‑month or 3‑month reservations billed monthly per 1K tokens‑per‑minute.

📊 AWS Data Exports now surfaces granular operation types for Amazon Bedrock in cost reports, replacing generic "Usage" labels with explicit operations such as InvokeModelInference and InvokeModelStreamingInference. These operation values appear in the line_item_operation column for Legacy CUR and CUR 2.0, the x_Operation column in FOCUS exports, and as Operation dimension values in the AWS Cost Explorer API. The change applies to all foundation models on Bedrock and is intended to help FinOps and cost optimization teams analyze and optimize model-driven spend.

📊 AWS Data Exports now surfaces granular Amazon Bedrock operation types in billing outputs, replacing generic "Usage" labels with explicit actions such as InvokeModelInference and InvokeModelStreamingInference. These operation values appear in Legacy CUR and CUR 2.0 via the line_item_operation column, in FOCUS exports via x_Operation, and as Operation dimension values in the Cost Explorer API. The visibility applies across all Bedrock foundation models and is intended to help FinOps and cost optimization teams perform more precise usage tracking and billing analysis.

🔐 Amazon Bedrock now supports API keys in AWS GovCloud (US), extending the capability first introduced in commercial regions in July 2025. Developers can create short-term API keys (valid for the console session or up to 12 hours) and long-term keys with configurable lifetimes. Long-term keys are manageable through the AWS IAM console, reducing the need to manually configure IAM principals and policies and streamlining generative AI development.

🚀 Amazon Bedrock now supports NVIDIA Nemotron 3 Nano 30B A3B, NVIDIA's efficient hybrid Mixture-of-Experts language model with a 256k token context window and native tool-calling support. The model delivers higher throughput for agentic, coding, and complex reasoning workloads while preserving the depth of larger models through advanced reinforcement learning and multi-environment post-training. Powered by Project Mantle, Bedrock provides serverless distributed inference, QoS controls, automated capacity management and OpenAI API compatibility across multiple AWS Regions.

🔧 Amazon Bedrock Data Automation now offers blueprint instruction optimization to improve custom field extraction accuracy using just a few example document assets with ground truth labels. The feature analyzes differences between expected values and Data Automation inferences, then refines the natural-language instructions in your blueprint to boost extraction performance without model training or fine-tuning. It produces evaluation metrics including exact match rates and F1 scores and is available in all Regions where Bedrock Data Automation is supported.