All news with #amazon bedrock tag

🚀 Amazon Bedrock now offers an OpenAI-compatible Projects API within the Mantle inference engine, enabling customers to create isolated projects for separate applications, environments, or teams. Each project supports distinct IAM-based access controls and tagging to improve security boundaries and cost visibility. The feature is available for OpenAI-compatible APIs, the Responses API, and Chat Completions through Mantle. There is no additional charge beyond model inference consumption.

🔒 In November 2025, AWS completed its first surveillance audit for ISO/IEC 42001:2023 — the Artificial Intelligence Management System standard — with no findings. This follows AWS’s November 2024 announcement that several AI services, including Amazon Bedrock, Amazon Q Business, Amazon Textract, and Amazon Transcribe, were accredited under the standard. The successful no-findings outcome provides independent validation of AWS’s ongoing commitment to responsible AI practices and gives customers added assurance when building and operating AI applications on AWS.

🔧 Amazon Bedrock now supports server-side tool execution by integrating AgentCore Gateway with the Responses API. Customers can supply an AgentCore Gateway ARN and Bedrock will discover and invoke gateway tools during inference, eliminating client-side orchestration. Tool results are executed and streamed server-side in real time, with IAM-based access control preserved. This reduces latency and simplifies agentic workflows.

🔎 AWS added source document references to Automated Reasoning policies in Amazon Bedrock, enabling users to trace generated formal rules and variables back to the original documents used to create policies. This improves transparency and makes it easier to review, validate, and refine policy encodings derived from uploaded materials. Test generation for Automated Reasoning checks is now available in multiple US and Europe Regions and can be accessed via the Bedrock console and the Bedrock Python SDK. AWS says the checks use formal verification and can reach up to 99% accuracy in identifying correct LLM responses, helping detect hallucinations and ambiguity.

🚀 Amazon Bedrock now offers Mistral AI Devstral 2 123B, an open-weight 123B-parameter LLM optimized for agentic software engineering workflows. The model focuses on code generation, automation, and reliable multi-step reasoning, supporting long-context comprehension for multi-turn coding tasks. Bedrock exposes Devstral 2 via a single, fully managed API so customers do not need to provision infrastructure or host models. It is intended for production coding assistants, automated code review, and complex software development agents and is available in select AWS Regions.

🔧 Amazon Bedrock now supports reinforcement fine-tuning (RFT) for open-weight models, including openai.gpt-oss-20b and qwen.qwen3-32b. The managed RFT workflow automates end-to-end customization using reward functions that can be rule-based or AI-driven, and integrates with AWS Lambda for custom grading and checkpoint inspection. Fine-tuned models are immediately available for on-demand inference via Bedrock's OpenAI-compatible Responses and Chat Completions APIs, while proprietary data remains within AWS's secure environment.

🚀 Amazon Bedrock now supports Claude Sonnet 4.6, Anthropic's newest model delivering frontier performance across coding, agentic workflows, and professional knowledge work. Sonnet 4.6 enables faster, high-quality task completion and claims near-human reliability for browser-based automation, at a lower cost than Opus 4.6. Enterprises can migrate from Sonnet 4.5 with minimal prompt changes and deploy it across supported Bedrock regions for search, chat, agents, and domain-specific applications.

🚀 Amazon Web Services announced that Amazon Bedrock now supports the latest open-weight models in Asia Pacific (Sydney) through the bedrock-mantle endpoint. The update brings models from providers including DeepSeek, Google, MiniMax, Mistral, Moonshot AI, Nvidia, and OpenAI, expanding local model choice. Powered by Project Mantle, bedrock-mantle delivers a distributed, serverless inference engine with advanced quality-of-service controls, automated capacity management and unified pools. It also offers out-of-the-box OpenAI API compatibility to simplify integration for developers.

🔒 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.