All news with #amazon bedrock tag

🤖 AWS GovCloud (US) now offers Claude Sonnet 5.5, a smarter and more efficient model that improves coding and knowledge-work performance at lower cost per task and faster speeds. Sonnet 5.5 is an upgrade from Sonnet 5, better suited for coding workflows like building, fixing, and verifying features, and for producing shareable outputs such as 1‑pagers, diagrams, slides, document edits, and spreadsheet cleanup. Available via Amazon Bedrock, Sonnet 5.5 keeps data within AWS infrastructure, supports regional data residency, and is accessed through a unified service with AWS-managed features like Guardrails and Knowledge Bases.

🔗 AWS announced native Salesforce and Zendesk data source connectors for Amazon Bedrock Managed Knowledge Base, enabling direct synchronization of Salesforce knowledge articles and Zendesk help center articles and community posts. The connectors remove the need for custom ingestion pipelines by handling crawling, metadata extraction, and incremental sync using instance credentials. This streamlines building RAG-based AI agents and assistants grounded in up-to-date support and product knowledge.

🔔 AWS announces general availability of GPT‑6 Sol and GPT‑6 Luna from OpenAI on Amazon Bedrock, expanding the GPT‑6 family to balance intelligence, speed, and cost. Sol targets complex, recurring tasks and software development with improved factuality, while Luna is optimized for high‑volume focused tasks like summarization and extraction. Both support up to 1M tokens of context and run on the Amazon Bedrock inference engine with established AWS controls.

🔔 Anthropic’s Claude Opus 5.5 is now available on AWS via Amazon Bedrock and Claude Platform on AWS. The model improves efficiency over Opus 5 by using fewer tokens at lower cost, with additional savings from cheaper cache reads. It’s designed for long-running coding and knowledge work and reports clearly on actions, findings, and next steps. Customers can choose Bedrock for zero data retention and regional residency, or Claude Platform for Anthropic’s native experience with AWS billing.

🚀 AWS GovCloud (US) now provides access to Anthropic's Claude Opus 5.5, the most capable Opus model to date, optimized for long-running coding and knowledge work. Claude Opus 5.5 completes tasks using fewer tokens than its predecessor, lowering costs with cheaper cache reads and improved efficiency. Available via Amazon Bedrock, the model is offered with zero data retention by default and benefits from AWS-managed features like Guardrails, Knowledge Bases, and regional data residency.

🚀 Moonshot AI's Kimi K3 is now generally available on Amazon Bedrock, delivering an open-weight model with native vision and a 1-million-token context window. The model, claimed to have 2.8 trillion parameters and improved scaling efficiency over Kimi K2, targets long-running coding sessions, multi-document analysis, and extended agent workflows. On Bedrock it runs within the same security boundary as proprietary models and supports explicit prompt caching to reduce latency and input costs.

🚀 The new AgentCore Runtime for Amazon Bedrock AgentCore is now generally available, introducing elastic memory management that reclaims unused memory and consistent cold start times regardless of container image size. It preserves serverless benefits—no pre-provisioning, scale-to-zero, hardware-enforced isolation, and pay-for-use—while lowering costs and speeding startup. Sessions begin with a compact memory profile and expand on demand; idle memory is reclaimed. Snapshot-based cold start restoration delivers P75 cold starts of ~1.9–2.0s across 200 MB–2 GB images in tests. The runtime is available in select regions and can be enabled by setting platformVersion to V2 when creating or updating a runtime.

🔒 Amazon Web Services now supports running open-weight generative AI models on Amazon Bedrock within the AWS European Sovereign Cloud, keeping data and operations inside the EU. The first available family, Gemma 4, is offered under the Apache 2.0 license and served via the bedrock-mantle inference engine with OpenAI-compatible APIs. The service enforces zero operator access and in-Region inference (eusc-de-east-1), preserves data residency and provides IAM-based access controls and CloudTrail auditing.

🤖 Amazon Connect Customer now supports importing evaluation form PDFs from third-party quality management applications and uses AI to recreate them within Connect. The service extracts sections, questions, answer options, and scoring into a draft form after you choose percentage or points-based scoring. You can provide natural language instructions to refine the import, reducing manual edits before activation. This feature is available in multiple AWS Regions including N. Virginia, Oregon, Singapore, Sydney, Tokyo, Frankfurt, and Canada (Central).

🎯 Amazon Web Services announced availability of TwelveLabs Marengo 3.0 as an embedding model in Amazon Bedrock Managed Knowledge Base, enabling multimodal embeddings for video, audio, and images. The model encodes visual scenes, speech, and video cues directly—going beyond transcription-based text embeddings—and produces compact 512-dimensional vectors for accurate retrieval. Users can upload media (for example, from Amazon S3), sync, and perform natural language search with segment start/end times and configurable segmentation.

🛠️ AWS announced two new APIs — CheckIngestedDocumentAcl and GetIngestedDocumentAcl — for Amazon Bedrock Managed Knowledge Base that let customers debug and audit document-level access. The first API verifies whether a specific user can access a given ingested document, while the second returns the full ACL attached to a document for detailed inspection. The Bedrock console also adds a Document Access Control section to check access by document ID and user email or retrieve a document's ACL.

🔗 AWS has introduced a Confluence Data Center data source connector for Amazon Bedrock Managed Knowledge Base, enabling direct ingestion of self-hosted Confluence blogs and pages. The connector automates crawling, metadata extraction, and incremental sync after you provide instance credentials. Filters let you scope crawls to specific spaces or content types to keep knowledge bases focused and cost-efficient. This simplifies building internal AI assistants grounded in Confluence-hosted documentation.

🚀 Today AWS announces general availability of GPT-6 Astra from OpenAI on Amazon Bedrock. The model offers deeper reasoning, professional-quality output, advanced browser and code capabilities, and a context window up to 1 million tokens. Customers can call Astra via Bedrock APIs or configure ChatGPT Work and Codex to use the model, and AWS provides established controls for security, governance, and audit.

🔔 Amazon Bedrock AgentCore Memory now offers the IngestData API to submit content directly for long-term memory extraction without first creating a short-term memory event. The API accepts conversational and JSON payloads along with optional metadata, fans content out to configured long-term strategies, and makes resulting records available via existing retrieval operations. Developers can verify and manage extraction results with ListMemoryRecords, RetrieveMemoryRecords, Kinesis streaming for notifications, and ListMemoryExtractionJobs for redrives.

🔐 AWS announces user-managed (3LO) setup for SharePoint, OneDrive, and Confluence in Amazon Bedrock Managed Knowledge Base. This replaces the prior need to generate 2LO service credentials on the third-party side and lets users authenticate with their existing accounts to complete setup in minutes. The change reduces reliance on IT admins for credential creation and accelerates prototyping of AI assistants grounded in organizational docs. The existing service-account option remains available for enterprise production use.

🔗 AWS introduces a ServiceNow data source connector for Amazon Bedrock Managed Knowledge Base, enabling direct ingestion of knowledge articles and service catalog items. The connector handles crawling, metadata extraction, file attachments, and incremental sync after you provide ServiceNow credentials. You can scope crawls by knowledge base, article category, or service catalog using sys ID inclusion lists to ingest only relevant content. This simplifies powering AI assistants and support agents with up-to-date ServiceNow institutional knowledge.

🔁 Amazon Web Services now offers automatic sync scheduling for Amazon Bedrock Managed Knowledge Base, a fully managed RAG service that removes the need to manage vector databases or custom pipelines. You can configure daily, weekly, or monthly syncs for native connectors to keep knowledge bases current. This replaces manual syncs and custom scheduling solutions, reducing operational overhead and ensuring AI agents retrieve up-to-date enterprise information.

🔍 This post examines a multi‑stage attack that begins with a web application SSRF vulnerability on an EC2 instance, leads to IMDSv1 credential harvesting for an attached webdev role, and culminates in unauthorized access to Amazon Bedrock across Regions. It walks through four CloudTrail events—failed CreateUser, console sign‑in without MFA, ListFoundationModels in another Region, and a Converse call invoking Amazon Nova Pro—and shows which log fields reveal attribution, intent, and cross‑Region pivots. The article also provides containment, remediation, and hardening recommendations.

🛡️ FortiGuard Labs examines an AWS incident where a long-lived IAM access key with Administrator privileges was abused to create identities, subscribe to foundation models on AWS Marketplace, and invoke those models for profit. The report outlines the concept of LLMjacking, the steps observed in the compromise, and why valid cloud credentials make detection challenging. It also lists FortiCNAPP (Lacework) detections and recommended posture changes to reduce risk.

🔎 Amazon Bedrock's Web Search tool is now available in AWS GovCloud (US-West), enabling grounded web results with citations for supported OpenAI GPT models. Web Search keeps request data inside the AWS boundary by default and is governed by IAM so administrators can control access at account, organization, and Region levels. At launch it supports GPT-5.4, GPT-5.6 Terra, and Luna models and joins other US Regions where the capability is already available.