All news with #amazon bedrock tag

🚀 Amazon Bedrock AgentCore is now available in four additional AWS Regions: Asia Pacific (Bangkok), Asia Pacific (Malaysia), Europe (Milan), and Europe (Spain). AgentCore is a platform to build, connect, and optimize agents, enabling engineers to ship agents quickly with any framework and model while enforcing security at the infrastructure layer. The launch brings runtime, identity and access control, policy management, session persistence, tool connectivity, and observability to these regions, reducing latency for local end users.

🛡️ AWS Security Hub CSPM introduces the AI Security Best Practices standard, offering 31 automated controls to detect misaligned AI resources. The standard evaluates Amazon Bedrock, Bedrock AgentCore, and Amazon SageMaker workloads against recommended configurations without manual rule creation. It covers domains like network isolation, encryption, VPC placement, KMS usage, private registries, and authorization, producing findings to help teams remediate issues. Available in all Regions where Security Hub CSPM operates, including GovCloud (US) and China.

🤖 AWS now offers Claude Sonnet 5, Anthropic’s latest Sonnet-generation model, delivering high capability at Sonnet pricing for coding, agents, and professional workflows. The model excels at navigating large codebases, performing multi-file changes, debugging, and refactoring with fewer corrections. For agentic use it maintains state, calls tools precisely, and recovers from errors to increase successful runs. Customers can access Sonnet 5 via Amazon Bedrock or the Claude Platform on AWS, with Bedrock providing AWS-managed features like guardrails and regional data residency.

🚀 AWS GovCloud (US) now offers Anthropic's Claude Opus 4.8, the vendor's most capable generally available model to date. Claude Opus 4.8 improves agentic coding, long-running autonomous tasks, and professional knowledge work by maintaining extended context, planning before edits, and recovering from errors. Amazon Bedrock delivers access while keeping data in AWS infrastructure and adding AWS-managed features such as Guardrails and Knowledge Bases.

🔒 Two new models are now available in the Kiro IDE and CLI for the AWS GovCloud (US-West) Region. OpenAI GPT-5.4 supports complex reasoning, coding, document analysis, and multi-step agentic workflows, running on Amazon Bedrock with a 272K context window and 1.2x credit multiplier. NVIDIA Nemotron 3 Super 120B is offered as an open weight, hybrid MoE option with a 256K context window, 32K max output, and 0.25x credit multiplier. Update your IDE or CLI and restart to access the new models.

🔒 AWS announces general availability of AWS WAF protection for Amazon Bedrock AgentCore Gateway, enabling protection of agentic AI workloads from common web exploits and abuse. You can associate an AWS WAF protection pack with your AgentCore Gateway to enforce IP-based access controls, rate-based throttling, and AWS Managed Rule Groups including Bot Control. Configure protections once at the Gateway and have them applied consistently to all targets behind it.

🚨 Amazon Bedrock now offers OpenAI GPT, OpenAI GPT OSS, and NVIDIA Nemotron models approved for FedRAMP High and DoD CC SRG IL-4/IL-5 in AWS GovCloud (US), enabling compliant generative AI deployments for federal and public sector customers. These models run on Mantle, Bedrock’s distributed inference engine, providing serverless, high-performance inference with zero operator access and OpenAI API compatibility. Agencies and enterprises with stringent compliance needs can use Bedrock in GovCloud to build and scale secure AI applications.

🔒 Amazon Bedrock AgentCore Memory now supports cross-account access, enabling multi-account architectures where memory resources and consuming agents span AWS accounts. Administrators can attach resource-based policies to memory resources to grant principals in other accounts permission to call memory data plane APIs by referencing the full memory ARN. Cross-account delivery destinations let memory resources stream payloads and events to Amazon S3, Amazon SNS, and Amazon Kinesis Data Streams in separate accounts. This capability is available in all Regions where AgentCore Memory is supported.

🔧 AWS announced automated refinement workflows for Automated Reasoning checks in Amazon Bedrock Guardrails. These checks use formal logic to validate generative AI responses against user-defined policies to detect hallucinations and provide verifiable explanations. The new workflows — iterative policy improvement and ambiguity reduction — help customers refine policies with less manual effort. Both workflows are accessible via the Amazon Bedrock APIs and the AWS Management Console.

🚀 Amazon Bedrock AgentCore announces general availability of its managed agent harness, enabling teams to deploy production-grade agents in minutes. The harness handles orchestration, tool execution, session isolation, persistent memory, failure recovery, and context management so customers define agents via configuration rather than coding the loop. It supports any model, mid-session model switching, integrated security and observability, and exports to code for custom orchestration, and is available today in all AWS Commercial Regions where AgentCore is offered.

🛡️ Amazon Web Services announced that Amazon Bedrock AgentCore now supports Bedrock Guardrails in policy, enabling enterprises to enforce safety and security controls on AI agents in production. AgentCore policy authorizes which actions agents can take and now evaluates outputs and gateway inputs in real time to detect and block prompt injection, harmful content, and sensitive data exposure. Guardrail enforcement occurs at the AgentCore gateway perimeter, with all evaluations logged via AgentCore observability for auditing and optimization. The capability integrates with existing gateway deployments, supports natural language or policy-as-code authoring, uses consumption-based pricing, and is available in multiple global AWS regions.

🚀 Amazon Bedrock Managed Knowledge Base is now generally available as a fully managed retrieval-augmented generation (RAG) service. The offering removes the need to manage vector databases, data pipelines, and retrieval infrastructure by handling ingestion, storage optimization, and advanced retrieval. It supports six native connectors—S3, SharePoint, Confluence, Google Drive, OneDrive, and a web crawler—with automatic syncing and managed vector storage tuned for price-performance. Native integration with Amazon Bedrock AgentCore provides auto-generated permissions and observability for agent deployments.

🛡️ Amazon Bedrock Guardrails introduces the InvokeGuardrailChecks API, a resourceless endpoint that lets you apply individual safeguards at any step of agentic AI workflows without creating guardrail resources. The API returns numeric severity and confidence scores so you can set custom thresholds and actions — block, pass, retry, or log — per request. It supports content filters, prompt attack detection, and sensitive information filters and is available in multiple AWS Regions.

🔍 AWS Transform now provides a model-to-model migration custom transformation that evaluates generative AI workloads and generates a migration plan to Amazon Bedrock. The agent scans codebases to identify AI SDKs and models, collects migration requirements interactively, and maps models to Bedrock equivalents with cost comparisons and production-ready code changes. It preserves application architecture while recommending routing, caching, and Bedrock integrations for secure, consolidated deployment.

🚀 AWS announced that xAI’s Grok 4.3 is now available on Amazon Bedrock, making xAI a model provider on the platform. Grok 4.3 is a reasoning-first model with configurable, always-on reasoning levels and optimized token efficiency. It supports strong tool use, instruction following, and is suited for enterprise tasks like contract and financial document analysis. The model runs on Mantle, Bedrock’s new inference engine supporting tool calling and streaming.

📌 Amazon Bedrock AgentCore Memory now allows applications to attach metadata values directly to short-term memory events so those values are preserved exactly when converted into long-term memory records. Previously, metadata had to be inferred by the LLM during extraction. Setting a metadata key to STRICTLY_CONSISTENT ensures the provided value is unchanged, prevents merging across different values, and lets you group events for department scoping, compliance boundaries, and multi-tenant isolation. The feature supports up to three strictly consistent STRING keys per strategy and is available in all AWS Regions where AgentCore Memory is supported.

🔎 Amazon Bedrock AgentCore now offers Web Search generally available in US East (N. Virginia). The fully managed tool provides agents with current web knowledge, combining an Amazon-operated web index and structured knowledge graph data to return high-value excerpts, entity data, and verified facts. Web Search integrates with AgentCore via the Model Context Protocol (MCP) and keeps data residency within your secured AWS environment with zero data egress.

🚀 AWS has expanded availability of OpenAI's GPT-5.4 and GPT-5.5 models to the US East (N. Virginia) Region on Amazon Bedrock. These models support a 272K-token context window, accept text and image input, and are accessible via the Responses API with server- and client-side tool calling, projects, and response streaming. GPT-5.5 targets advanced coding, research, analysis, and long-running agentic tasks, while GPT-5.4 focuses on frontier reasoning, coding, tool use, and long-context workflows.

🚀 AWS announces availability of the Gemma 4 family from Google DeepMind on Amazon Bedrock. The offering includes three variants—Gemma 4 31B, Gemma 4 26B-A4B, and Gemma 4 E2B—covering dense and MoE architectures with multimodal and multilingual support. Models run on new Bedrock optimizations for tool calling, structured output, reasoning, and streaming, and are initially available in several AWS Regions.

🤖 Claude Fable 5 is now generally available on AWS, offering Mythos-level capabilities with built-in safety classifiers for broader use. The model advances autonomous knowledge work and coding for professional tasks across finance, legal, marketing, sales, data, and engineering. Customers can access it via Amazon Bedrock or the Claude Platform on AWS, with options for AWS-managed guardrails and regional data residency.