Amazon Bedrock AgentCore Gateway now supports TLS certificates signed by private certificate authorities (CAs) on MCP, OpenAPI, and HTTP proxy targets. This feature enables you to connect securely to gateway targets that use TLS certificates issued by your own private certificate authority. With this feature, you can establish native connections to private endpoints in your VPC without requiring an intermediate Application Load Balancer. You can register a private CA certificate with gateway targets that use private endpoints powered by Amazon VPC Lattice. The gateway fetches your PEM-encoded CA certificate from Amazon S3 or AWS Secrets Manager and uses it as the trust anchor for outbound TLS connections. Private CA support is available for MCP server targets, OpenAPI targets, and HTTP proxy (passthrough) targets. Support for private certificates on AgentCore Gateway is available in all Regions where both AgentCore Gateway and Amazon VPC Lattice are available. To learn more, see the AgentCore Developer Guide.

Amazon Bedrock AgentCore Gateway now supports TLS certificates signed by private certificate authorities (CAs) on MCP, OpenAPI, and HTTP proxy targets. This feature enables you to connect securely to gateway targets that use TLS certificates issued by your own private certificate authority. With this feature, you can establish native connections to private endpoints in your VPC without requiring an intermediate Application Load Balancer. You can register a private CA certificate with gateway targets that use private endpoints powered by Amazon VPC Lattice. The gateway fetches your PEM-encoded CA certificate from Amazon S3 or AWS Secrets Manager and uses it as the trust anchor for outbound TLS connections. Private CA support is available for MCP server targets, OpenAPI targets, and HTTP proxy (passthrough) targets. Support for private certificates on AgentCore Gateway is available in all Regions where both AgentCore Gateway and Amazon VPC Lattice are available. To learn more, see the https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/gateway-vpc-egress.html#gateway-private-certificate.

GPT-6 Astra from OpenAI is now generally available on Amazon Bedrock. It brings deeper reasoning and sharper judgment to your most demanding tasks, running on the Amazon Bedrock inference engine built for high performance, security, and scale.

We're excited to announce in-region support for Anthropic's Claude Opus 5.5 and Claude Sonnet 5 on Amazon Bedrock in the UK (London) Region. Customers who need to process data within the United Kingdom, including those in financial services, healthcare, and the public sector, can now use these models at scale while keeping inference in-country. Regional availability by models in the Amazon Bedrock User Guide. To get started with Claude models on Amazon Bedrock, visit the Amazon Bedrock console.

We're excited to announce in-region support for Anthropic's https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-opus-5-5.html and https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-sonnet-5.html on Amazon Bedrock in the UK (London) Region. Customers who need to process data within the United Kingdom, including those in financial services, healthcare, and the public sector, can now use these models at scale while keeping inference in-country. In the UK, Amazon Bedrock supports Claude Opus 5.5 and Claude Sonnet 5 with in-region inference on the bedrock-runtime endpoint in the London (eu-west-2) Region. Amazon Bedrock processes inference requests and data within the Region you call, and the processing never leaves that Region. For the most current information about model availability in each Region, see https://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html#model-regions-anthropic by models in the Amazon Bedrock User Guide. To get started with Claude models on Amazon Bedrock, visit the Amazon Bedrock console.

Today, AWS announces the availability of UltraFast mode for GPT-6 Astra from OpenAI on Amazon Bedrock. Ultrafast is a premium speed tier for GPT-6 Astra built for workloads where speed matters most. According to OpenAI, Ultrafast delivers up to 6x faster inference in the API, with up to 300 tokens per second. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads. Use GPT-6 Astra Ultrafast for latency-sensitive applications such as real-time coding assistants, interactive agents, and customer-facing experiences that require fast, high-quality responses. Established AWS controls help you secure workloads, govern access, and audit model invocation activity. You can get started in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation.

 Today, AWS announces the availability of UltraFast mode for GPT-6 Astra from OpenAI on Amazon Bedrock. Ultrafast is a premium speed tier for GPT-6 Astra built for workloads where speed matters most. According to OpenAI, Ultrafast delivers up to 6x faster inference in the API, with up to 300 tokens per second. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads. Use GPT-6 Astra Ultrafast for latency-sensitive applications such as real-time coding assistants, interactive agents, and customer-facing experiences that require fast, high-quality responses. Established AWS controls help you secure workloads, govern access, and audit model invocation activity. You can get started in thehttps://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/ or programmatically through supported Amazon Bedrock APIs. For information about supportedhttps://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html, endpoints, APIs, features, inference profiles and pricing, see the https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-openai-gpt-6-astra.html 

AWS anunció inferencia en región para Claude en Amazon Bedrock Seúl Singapur: los datos ya no salen de la región durante el procesamiento con IA.

We're excited to announce the availability of Anthropic's Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5 on Amazon Bedrock in India, Claude Opus 5 and Claude Sonnet 5 in South Korea, as well as Claude Sonnet 5 in Singapore. Customers who need to process data within a specific geography, including those in financial services, healthcare, and the public sector, can now use these models at scale while keeping inference in-country. In India, the regional endpoint is served through geographic cross-Region inference across the Mumbai and Hyderabad Regions. Customers in India can access these models while processing data in India Regions, in addition to the already supported global cross-Region inference. In South Korea, Amazon Bedrock supports Claude Opus 5 and Claude Sonnet 5 models with in-region inference on the bedrock-runtime endpoint in the Seoul (ap-northeast-2) Region. In Singapore (ap-southeast-1), Amazon Bedrock supports Claude Sonnet 5 with in-region inference on the bedrock-runtime endpoint. Amazon Bedrock processes inference requests and data within the Region you call, and the processing never leaves that Region. For the most current information about model availability in each Region, see Regional availability by models in the Amazon Bedrock User Guide.

We're excited to announce the availability of Anthropic's https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-opus-5.html https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-sonnet-5.html, and https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-haiku-4-5.html on Amazon Bedrock in India, Claude Opus 5 and Claude Sonnet 5 in South Korea, as well as Claude Sonnet 5 in Singapore. Customers who need to process data within a specific geography, including those in financial services, healthcare, and the public sector, can now use these models at scale while keeping inference in-country. In India, the regional endpoint is served through geographic cross-Region inference across the Mumbai and Hyderabad Regions. Customers in India can access these models while processing data in India Regions, in addition to the already supported global cross-Region inference. In South Korea, Amazon Bedrock supports Claude Opus 5 and Claude Sonnet 5 models with in-region inference on the bedrock-runtime endpoint in the Seoul (ap-northeast-2) Region. In Singapore (ap-southeast-1), Amazon Bedrock supports Claude Sonnet 5 with in-region inference on the bedrock-runtime endpoint. Amazon Bedrock processes inference requests and data within the Region you call, and the processing never leaves that Region. For the most current information about model availability in each Region, https://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html#model-regions-anthropic in the Amazon Bedrock User Guide.

Developed jointly by AWS and OpenAI, Bedrock Managed Agents (BMA) is built on a customized version of OpenAI's Agents API engineered to be AWS-native and integrated with AWS resources. You can now build agents optimized for OpenAI models that run entirely inside AWS with the identities, permissions, and governance controls you already use.  BMA manages how the model preserves state, selects and uses tools, executes code, and coordinates work across multiple steps and decisions. Durable sessions retain messages, tool calls, and intermediate results so you can return later, provide new information, and continue from the progress already made. You can add reusable skills for specialized procedures and connect agents to tools, including via Model Context Protocol (MCP) servers. Each agent operates with its own IAM role, supports human approval before consequential actions, and records supported API activity with AWS CloudTrail. During preview, there is no additional charge for BMA beyond the underlying AWS resources your agents consume. Pricing is subject to change at general availability. Get started with Amazon Bedrock Managed Agents today through supported APIs. BMA is available in preview in US East (N. Virginia), US West (Oregon), and US East (Ohio). For details, see the Amazon Bedrock documentation.

Developed jointly by AWS and OpenAI, Bedrock Managed Agents (BMA) is built on a customized version of OpenAI's Agents API engineered to be AWS-native and integrated with AWS resources. You can now build agents optimized for OpenAI models that run entirely inside AWS with the identities, permissions, and governance controls you already use.  BMA manages how the model preserves state, selects and uses tools, executes code, and coordinates work across multiple steps and decisions. Durable sessions retain messages, tool calls, and intermediate results so you can return later, provide new information, and continue from the progress already made. You can add reusable skills for specialized procedures and connect agents to tools, including via Model Context Protocol (MCP) servers. Each agent operates with its own IAM role, supports human approval before consequential actions, and records supported API activity with AWS CloudTrail. During preview, there is no additional charge for BMA beyond the underlying AWS resources your agents consume. Pricing is subject to change at general availability. Get started with Amazon Bedrock Managed Agents today through supported APIs. BMA is available in preview in US East (N. Virginia), US West (Oregon), and US East (Ohio). For details, see the https://docs.aws.amazon.com/bedrock/latest/userguide/bedrock-managed-agents-openai.html.  

Today, AWS announces the general availability of GPT-6.1 Sol from OpenAI on Amazon Bedrock. An upgrade to GPT-6 Sol, GPT-6.1 Sol delivers exceptionally strong performance on agentic coding, computer use, and professional work. According to OpenAI, it approaches GPT-6 Astra across demanding evaluations at roughly one-fifth of the cost, giving developers more room to build and run capable agents at scale. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads. Use GPT-6.1 Sol to build features, debug issues, iterate on solutions, carry out multistep workflows, and investigate complex codebases. It also supports explicit prompt caching on Amazon Bedrock, making it practical for agentic workloads that reuse context across repeated requests. Established AWS controls help you secure workloads, govern access, and audit model invocation activity. You can get started in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation. To learn more, read the blog.

Today, AWS announces the general availability of GPT-6.1 Sol from OpenAI on Amazon Bedrock. An upgrade to GPT-6 Sol, GPT-6.1 Sol delivers exceptionally strong performance on agentic coding, computer use, and professional work. According to OpenAI, it approaches GPT-6 Astra across demanding evaluations at roughly one-fifth of the cost, giving developers more room to build and run capable agents at scale. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads. Use GPT-6.1 Sol to build features, debug issues, iterate on solutions, carry out multistep workflows, and investigate complex codebases. It also supports explicit prompt caching on Amazon Bedrock, making it practical for agentic workloads that reuse context across repeated requests. Established AWS controls help you secure workloads, govern access, and audit model invocation activity. You can get started in thehttps://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/ or programmatically through supported Amazon Bedrock APIs. For information about supportedhttps://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html, endpoints, APIs, features, inference profiles and pricing, see thehttps://docs.aws.amazon.com/bedrock/latest/userguide/model-cards-openai.html. To learn more, https://aws.amazon.com/blogs/machine-learning/bring-near-astra-intelligence-to-everyday-work-with-gpt-6-1-sol-on-amazon-bedrock/ 

Learn how to deploy a multimodal WhatsApp ordering assistant that takes customer orders through text, voice notes, and real-time voice calls on a single business number, built on Amazon Bedrock AgentCore with Amazon Nova 2. The channel and ordering layers stay separate, and one shared memory recognizes each customer across all three channels.

Amazon Bedrock now supports SpaceXAI Grok 4.7, a frontier model built for coding, agentic tasks, and knowledge work, with US Geo and Global cross-Region inference.   Grok 4.7 builds on Grok 4.6 with better mixed-document handling, more dependable repo-scale coding with planning and error recovery, and enhanced browser-use agents for form fills and portal navigation.   Get started with Grok 4.7 in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation. To learn more, read the launch blog post.

Amazon Bedrock now supports SpaceXAI Grok 4.7, a frontier model built for coding, agentic tasks, and knowledge work, with US Geo and Global cross-Region inference.   Grok 4.7 builds on Grok 4.6 with better mixed-document handling, more dependable repo-scale coding with planning and error recovery, and enhanced browser-use agents for form fills and portal navigation.   Get started with Grok 4.7 in thehttps://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/ or programmatically through supported Amazon Bedrock APIs. For information about supportedhttps://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html, endpoints, APIs, features, inference profiles and pricing, see the https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-xai-grok-4-7.html. To learn more, read the launch https://aws.amazon.com/blogs/machine-learning/grok-4-7-is-now-available-on-amazon-bedrock/.  

AWS GovCloud (US) now offers Claude Sonnet 5.5, a smarter and more efficient Sonnet that delivers a clear leap forward on coding and knowledge work with at a lower cost per task for most work ag faster speed. Claude Sonnet 5.5 is a smarter, more efficient Sonnet and a step up from Sonnet 5, making it a natural upgrade for teams already building on Sonnet. It's stronger for coding, completing well-scoped tasks as part of a larger coding strategy such as building and fixing features with Claude in the same session or verifying output against requirements. And it produces ready-to-share knowledge work, from 1-pagers, diagrams, and summary slides to document edits and spreadsheet cleanup. Amazon Bedrock gives you Sonnet's capabilities while keeping your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock documentation and regional availability.

AWS GovCloud (US) now offers Claude Sonnet 5.5, a smarter and more efficient Sonnet that delivers a clear leap forward on coding and knowledge work with at a lower cost per task for most work ag faster speed. Claude Sonnet 5.5 is a smarter, more efficient Sonnet and a step up from Sonnet 5, making it a natural upgrade for teams already building on Sonnet. It's stronger for coding, completing well-scoped tasks as part of a larger coding strategy such as building and fixing features with Claude in the same session or verifying output against requirements. And it produces ready-to-share knowledge work, from 1-pagers, diagrams, and summary slides to document edits and spreadsheet cleanup. Amazon Bedrock gives you Sonnet's capabilities while keeping your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-sonnet-5-5.html and https://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html?refid=7ecf60df-6136-414c-a7c3-6aa4d2d6019f#model-regions-anthropic. 

AWS now offers Claude Sonnet 5.5, a smarter and more efficient Sonnet that delivers a clear leap forward on coding and knowledge work with at a lower cost per task for most work at faster speed. Claude Sonnet 5.5 is a smarter, more efficient Sonnet and a step up from Sonnet 5, making it a natural upgrade for teams already building on Sonnet. It's stronger for coding, completing well-scoped tasks as part of a larger coding strategy such as building and fixing features with Claude in the same session or verifying output against requirements. And it produces ready-to-share knowledge work, from 1-pagers, diagrams, and summary slides to document edits and spreadsheet cleanup. Customers have two ways to access Claude Sonnet 5.5: Amazon Bedrock and Claude Platform on AWS. Amazon Bedrock gives you Sonnet's capabilities while keeping your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock documentation and regional availability.  Claude Platform on AWS gives you direct access to Anthropic's native platform experience and capabilities via the AWS Console. Build, test, and deploy with the same APIs, features, and console experience you'd get working with Anthropic directly, unified with AWS billing and authentication. To get started, see the Claude Platform on AWS documentation.

AWS now offers Claude Sonnet 5.5, a smarter and more efficient Sonnet that delivers a clear leap forward on coding and knowledge work with at a lower cost per task for most work at faster speed. Claude Sonnet 5.5 is a smarter, more efficient Sonnet and a step up from Sonnet 5, making it a natural upgrade for teams already building on Sonnet. It's stronger for coding, completing well-scoped tasks as part of a larger coding strategy such as building and fixing features with Claude in the same session or verifying output against requirements. And it produces ready-to-share knowledge work, from 1-pagers, diagrams, and summary slides to document edits and spreadsheet cleanup. Customers have two ways to access Claude Sonnet 5.5: Amazon Bedrock and Claude Platform on AWS. Amazon Bedrock gives you Sonnet's capabilities while keeping your data within AWS infrastructure with regional data residency and provides access through a unified service with AWS-managed features like Guardrails and Knowledge Bases. To learn more, see the Amazon Bedrock https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-sonnet-5-5.html and https://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html?refid=7ecf60df-6136-414c-a7c3-6aa4d2d6019f#model-regions-anthropic.  Claude Platform on AWS gives you direct access to Anthropic's native platform experience and capabilities via the AWS Console. Build, test, and deploy with the same APIs, features, and console experience you'd get working with Anthropic directly, unified with AWS billing and authentication. To get started, see the Claude Platform on AWS https://docs.aws.amazon.com/claude-platform/latest/userguide/setup.html?refid=7ecf60df-6136-414c-a7c3-6aa4d2d6019f.

If there’s one theme that defined last week, it’s choice. The frontier models keep arriving, and the interesting question is no longer just “how smart is it?” but “which model fits this step, at this cost, at this latency?” That’s exactly what landed on Amazon Bedrock over the past few days: GPT-6 Sol and GPT-6 […]

Build a multi-account architecture that keeps each team

AWS announces Salesforce and Zendesk data source connectors for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service. Customers can now sync Salesforce knowledge articles and Zendesk articles and community posts directly into their managed knowledge base. Salesforce data source connector and Zendesk data source connector in the Amazon Bedrock User Guide. For more information about Amazon Bedrock Managed Knowledge Base, visit the Amazon Bedrock Knowledge Bases product page.