All news with #amazon bedrock tag

🔁 Amazon Bedrock AgentCore Runtime now supports bi-directional streaming, enabling real-time, continuous conversations where agents listen and respond simultaneously and handle interruptions or context shifts mid-turn. This removes stop-start friction in voice and text agents and preserves context across exchanges. Built into AgentCore Runtime, the capability reduces months of engineering work required to implement streaming infrastructure, letting developers focus on agent experiences rather than plumbing. Available in nine AWS Regions with consumption-based pricing.

🤖 Amazon API Gateway now supports the Model Context Protocol (MCP) via a proxy, enabling organizations to expose existing REST APIs to AI agents and MCP clients without modifying their applications. Integrated with Amazon Bedrock AgentCore's Gateway, the feature performs protocol translation, indexes APIs for semantic tool discovery, and eliminates the need to host additional intermediary infrastructure. It also enforces dual authentication to verify agent identities for inbound requests while managing secure outbound connections to REST endpoints. The capability is available in nine AWS Regions and follows Amazon Bedrock AgentCore pricing.

🔐 CrowdStrike integrates NVIDIA Nemotron via Amazon Bedrock to advance agentic security across the Falcon platform, enabling defenders to reason and act autonomously at scale. Falcon Fusion SOAR leverages Nemotron for adaptive, context-aware playbooks that prioritize alerts, understand relationships, and execute complex responses. Charlotte AI AgentWorks uses Bedrock-delivered models to create task-specific agents with real-time environmental awareness. The serverless Bedrock architecture reduces infrastructure overhead while preserving governance and analyst controls.

📘 Amazon Connect now supports connecting existing Amazon Bedrock Knowledge Bases directly to AI agents and allows multiple knowledge bases per agent. You can attach Bedrock KBs in a few clicks with no additional setup or data duplication, and leverage Bedrock connectors such as Adobe Experience Manager, Confluence, SharePoint, and OneDrive. With multiple KBs per agent, AI agents can query several sources in parallel for more comprehensive responses. This capability is available in all AWS Regions where both services are offered.

🤖 Amazon SageMaker Catalog now provides automated data classification that suggests business glossary terms during dataset publishing to reduce manual tagging and improve metadata consistency. The capability leverages Amazon Bedrock language models to analyze table metadata and schema and recommend relevant business and sensitive-data terms from organizational glossaries. Data producers receive AI-generated suggestions they can accept or modify before publishing, helping standardize vocabulary and improve data discoverability. The feature is available in multiple AWS regions and can be managed via SageMaker Unified Studio, the AWS CLI, or SDKs.

🚀 AWS announced a major expansion of its AI Competency, validating 60 partners across three new Agentic AI categories: Agentic AI Tools, Agentic AI Applications, and Agentic AI Consulting Services. The launch includes an AI agent in AWS Partner Central to provide immediate feedback and speed specialization approvals. Validated partners demonstrate production-grade capabilities using services such as Amazon Bedrock AgentCore, Strands Agents, and Amazon SageMaker AI, and must meet AWS standards for security, reliability, and responsible AI.

🧭 Amazon CloudWatch launched an AI-powered incident report generator that guides teams through a Five Whys root-cause analysis using a chat-based workflow powered by Amazon Q. The feature combines human inputs and automated analysis of incident data to recommend specific remediation and prevention measures. It is available at no additional cost in multiple AWS regions. To use it, create a CloudWatch investigation, click "Incident report," then select "Guide Me" in the Five Whys section.

🤖 AWS has launched the AWS AI League 2026 Championship, expanding its flagship AI tournament with new challenge tracks and a doubled prize pool of $50,000 to drive builder innovation. The program pairs a brief orientation with two competition tracks: a Model Customization track using Amazon SageMaker AI to fine-tune foundation models for domain-specific tasks, and an Agentic AI track using Amazon Bedrock AgentCore to build planning and execution agents. Enterprises can apply to host internal tournaments and receive AWS credits to run team competitions, while individual developers can compete at AWS Summits to test skills and build with AWS AI services.

🔍 AWS has announced general availability of multimodal retrieval in Amazon Bedrock Knowledge Bases, enabling unified search across text, images, audio, and video. The managed Retrieval Augmented Generation (RAG) workflow provides developers full control over ingestion, parsing, chunking, embedding (including Amazon Nova multimodal), and vector storage. Users can submit text or image queries and receive relevant text, image, audio, and video segments back, which can be combined with the LLM of their choice to generate richer, lower-latency responses. Region availability varies by feature set and is documented by AWS.

🔒 Amazon Bedrock now offers a Reserved service tier that provides prioritized compute and guaranteed input/output tokens-per-minute capacity for inference workloads. Customers can reserve asymmetric input and output capacities to match workload patterns, and excess traffic overflows automatically to the pay-as-you-go Standard tier to keep operations running. The tier targets 99.5% model response uptime and is available today for Anthropic Claude Sonnet 4.5, with 1- or 3-month reservations billed monthly at a fixed price per 1K tokens-per-minute.

🚀 Anthropic's Claude Opus 4.5 is now available through Amazon Bedrock, giving Bedrock customers access to a high-performance foundation model at roughly one-third the prior cost. Opus 4.5 advances professional software engineering, agentic workflows, multilingual coding, and complex visual interpretation while supporting production-grade agent deployments. Bedrock adds two API features — tool search and tool use examples — plus a beta effort parameter to balance reasoning, tool calls, latency, and cost. The model is offered via global cross-region inference in multiple AWS regions.

🤖 Amazon SageMaker introduces a serverless notebook experience that consolidates SQL, Python, and natural-language workflows into a single interactive workspace for analytics and ML. The environment is backed by Amazon Athena for Apache Spark to scale from interactive queries to petabyte-scale processing without pre-provisioned infrastructure. A built-in AI agent generates code and SQL from natural-language prompts to accelerate development, and the feature is available via SageMaker Unified Studio's one-click onboarding in multiple AWS Regions.

🚀 Amazon Bedrock Data Automation (BDA) now supports synchronous image processing, enabling low-latency extraction of structured insights from visual content. Synchronous APIs complement existing asynchronous workflows, removing the need for polling or callbacks and simplifying application architecture. BDA supports Standard Output for common analyses and Custom Output via Blueprints for industry-specific field extraction.

🚀 Beginning today, Amazon has made Amazon Bedrock available in Africa (Cape Town), Canada West (Calgary), Mexico (Central), and Middle East (Bahrain). The managed service provides secure access to a variety of foundation models and tools for building and operating generative AI applications and agents. With regional endpoints, customers can reduce latency and address data residency and compliance needs. To get started, customers can consult the Bedrock documentation and regional resources.

🚀 Amazon Bedrock is now available in Africa (Cape Town), Canada West (Calgary), Mexico (Central), and Middle East (Bahrain). The managed service provides access to multiple foundation models and tools to build, deploy, and operate secure, scalable generative AI applications and agents. Customers in these Regions can expect lower latency, improved regional data options, and an easier path from experimentation to production.

🚀 Amazon Bedrock now supports importing custom weights for gpt-oss-120b and gpt-oss-20b, allowing customers to bring tuned OpenAI GPT OSS models into a fully managed, serverless environment. This capability eliminates the need to manage infrastructure or model serving while enabling deployment of text-to-text models for reasoning, agentic, and developer tasks. gpt-oss-120b is optimized for production and high-reasoning use cases; gpt-oss-20b targets lower-latency or specialized scenarios. The feature is generally available in US‑East (N. Virginia).

🛠️ AWS Marketplace now supports Agent-to-Agent (A2A) servers and streamlined deployment for third-party AI agents built for Amazon Bedrock AgentCore Runtime. The update pre-populates required environment variables in the AgentCore console and adds AWS CLI instructions within Marketplace listings so customers can procure and deploy A2A servers directly. AWS Partners can list A2A and MCP servers and containerized AgentCore Runtime products, define vendor launch configurations, and enable flexible pricing (including free API-based SaaS) to accelerate onboarding. These capabilities reduce deployment complexity and add protocol flexibility to meet diverse customer needs.

🔔 Amazon Bedrock introduces two new inference tiers—Priority and Flex—to help customers balance cost and latency for varied AI workloads. Flex targets non-time-critical jobs like model evaluations and summarization with discounted pricing and lower scheduling priority. Priority offers premium performance and preferential processing (up to 25% better OTPS vs. Standard) for mission-critical, real-time applications. The existing Standard tier remains available for general-purpose use.

🎧 Amazon Polly now offers five new Generative TTS voices—Austrian German (Hannah), Irish English (Niamh), Brazilian Portuguese (Camila), Belgian Dutch (Lisa), and Korean (Seoyeon)—bringing the Generative engine to thirty-one voices across twenty locales. The Generative engine is generally available in three new Asia Pacific regions: Asia Pacific (Seoul), Asia Pacific (Singapore), and Asia Pacific (Tokyo), and all Generative voices are now available in US East (N. Virginia), Europe (Frankfurt), and US West (Oregon). These updates expand Amazon Polly's managed text-to-speech capabilities for conversational AI and speech content creation.

🎙️ Amazon Bedrock Data Automation (BDA) now supports 10 additional languages for speech analytics beyond English: Portuguese, French, Italian, Spanish, German, Chinese, Cantonese, Taiwanese, Korean, and Japanese. BDA can transcribe audio in the detected language, generate GenAI-powered insights, and produce summaries either in the detected language or in English. It also creates multi-lingual transcripts when recordings contain more than one supported language, simplifying analysis of customer calls, meetings, education sessions, clinical discussions, and public safety audio. Support is available in eight AWS Regions.