#amazonbedrock

@awsrecentnews.bsky.social

5 hours ago

Amazon Bedrock AgentCore Browser adds OS-level interaction capabilities Amazon Bedrock AgentCore Browser now supports OS-level interaction capabilities, enabling automation of browser workflows that require direct operating system control beyond Chrome DevTools Protocol (CDP) capabilities. This enhancement addresses automation scenarios where CDP alone is insufficient, such as mouse operations, print dialogs, native system alerts, and keyboard shortcuts. The feature serves AI agent developers, test automation engineers, and organizations building LLM-powered web interaction tools. The new capabilities provide automation through mouse operations (click, move, drag, scroll), keyboard operations (type, press, shortcuts like ctrl+a and ctrl+p), and full desktop screenshots, all at OS-level coordinates extending beyond the browser viewport. Key use cases include automated testing with system dialog handling, document management workflows, complex UI interactions with right-click menus, and vision-based AI agents that require complete browser environment visibility. This feature is available by default on all browser instances in all 14 AWS Regions where Amazon Bedrock AgentCore Browser is available: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and Canada (Central). To learn more, visit the AgentCore Browser documentation.

🆕 Amazon Bedrock AgentCore Browser now supports OS-level interaction, automating workflows needing OS control beyond CDP, including mouse, keyboard, and screenshots. Available in 14 AWS regions. For details, see documentation.

#AWS #AmazonBedrock

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AWS News(Unofficial)

@awsnews.bsky.social

5 hours ago

Amazon Bedrock AgentCore Browser adds OS-level interaction capabilities Amazon Bedrock AgentCore Browser now supports OS-level interaction capabilities, enabling automation of browser workflows that require direct operating system control beyond Chrome DevTools Protocol (CDP) capabilities. This enhancement addresses automation scenarios where CDP alone is insufficient, such as mouse operations, print dialogs, native system alerts, and keyboard shortcuts. The feature serves AI agent developers, test automation engineers, and organizations building LLM-powered web interaction tools. The new capabilities provide automation through mouse operations (click, move, drag, scroll), keyboard operations (type, press, shortcuts like ctrl+a and ctrl+p), and full desktop screenshots, all at OS-level coordinates extending beyond the browser viewport. Key use cases include automated testing with system dialog handling, document management workflows, complex UI interactions with right-click menus, and vision-based AI agents that require complete browser environment visibility. This feature is available by default on all browser instances in all 14 https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/agentcore-regions.html where Amazon Bedrock AgentCore Browser is available: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and Canada (Central). To learn more, visit the https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/browser-tool.html.

Amazon Bedrock AgentCore Browser adds OS-level interaction capabilities

Amazon Bedrock AgentCore Browser now supports OS-level interaction capabilities, enabling automation of browser workflows that require direct operating system control beyond Chrome DevTools Protocol (C...

#AWS #AmazonBedrock

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さるぼっと@IT最新動向を配信

@sarubot.bsky.social

14 hours ago

【30分で完了】Amazon BedrockでDeepSeekを動かしてみた top of page ITインフラ (1).png.png) Facebook X (Twitter) # 【30分で完了】Amazon BedrockでDeepSeekを動かしてみた（画面説明付き） 2025年3月12日読了時間: 4分 2/6からDeepSeek-R1 モデルが AWS で使用可能になりました。というわけで実際にAmazon BedrockでDeepSeekを触ってみます。 # 事前準備今回はインスタンスタイプにml.g6.2xlargeを使います。初期状態ではこのインスタンスタイプの利用ができないため、事前に利用できるようにサービスクォータ

Amazon BedrockでDeepSeek-R1-Distillがわずか30分で起動。推論環境の構築が簡素化され、LLMの検証が劇的に加速します。

・ml.g6.2xlargeでコストを最小化
・GUI完結でインフラ構築負荷ゼロ
・最新モデルの検証環境が即日利用可

#AmazonBedrock #DeepSeek

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OpsMatters

@opsmatters.com

18 hours ago

Datadog Datadog is the essential monitoring platform for cloud applications, bringing together data to make your stack entirely observable.

The latest update for #Datadog includes "Operating agentic #AI with #AmazonBedrock AgentCore and Datadog LLM #Observability: Lessons from NTT DATA" and "Capture and analyze custom heatmaps in Session Replay".

#monitoring #APM #DevOps https://opsmtrs.com/3iO6AqV

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AWS News Feed on 🦋

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1 day ago

Amazon Bedrock now offers Claude Mythos Preview (Gated Research Preview) Amazon Bedrock, the platform for building generative AI applications and agents at production scale, now offers Claude Mythos Preview in gated research preview as part of Project Glasswing. Claude Mythos Preview is Anthropic's most advanced AI model to date, representing a fundamentally new model class with state-of-the-art capabilities across cybersecurity, software coding, and complex reasoning tasks. The model can identify sophisticated security vulnerabilities in software and demonstrate exploitability, comprehending large codebases and delivering actionable findings with less manual guidance than previous AI models. This enables security teams to accelerate defensive cybersecurity work, find and fix security vulnerabilities in the world's most critical software, and address these issues before threats emerge. Claude Mythos Preview signals an upcoming wave of AI models with powerful cybersecurity capabilities. Anthropic and AWS are taking a deliberately cautious approach to release, prioritizing internet-critical companies and open-source maintainers whose software and digital services impact hundreds of millions of users. This approach gives defenders the opportunity to strengthen their codebases and share what they learn so the whole industry can benefit. Claude Mythos Preview is available in gated preview in the US East (N. Virginia) Region through Amazon Bedrock. Access is limited to an initial allow-list of organizations. If your organization has been allow-listed, your AWS account team will reach out directly. For AWS CISO Amy Herzog's perspective on this launch and what it means for the future of cybersecurity, read Building AI Defenses at Scale: Before the Threats Emerge.

🆕 Amazon Bedrock debuts Claude Mythos Preview, Anthropic's advanced AI for cybersecurity, coding, and reasoning, in a US East (N. Virginia) research preview for select, internet-critical firms.

#AWS #AmazonBedrock

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AWS News(Unofficial)

@awsnews.bsky.social

1 day ago

Amazon Bedrock now offers Claude Mythos Preview (Gated Research Preview) Amazon Bedrock, the platform for building generative AI applications and agents at production scale, now offers Claude Mythos Preview in gated research preview as part of Project Glasswing. Claude Mythos Preview is Anthropic's most advanced AI model to date, representing a fundamentally new model class with state-of-the-art capabilities across cybersecurity, software coding, and complex reasoning tasks. The model can identify sophisticated security vulnerabilities in software and demonstrate exploitability, comprehending large codebases and delivering actionable findings with less manual guidance than previous AI models. This enables security teams to accelerate defensive cybersecurity work, find and fix security vulnerabilities in the world's most critical software, and address these issues before threats emerge. Claude Mythos Preview signals an upcoming wave of AI models with powerful cybersecurity capabilities. Anthropic and AWS are taking a deliberately cautious approach to release, prioritizing internet-critical companies and open-source maintainers whose software and digital services impact hundreds of millions of users. This approach gives defenders the opportunity to strengthen their codebases and share what they learn so the whole industry can benefit. Claude Mythos Preview is available in gated preview in the US East (N. Virginia) Region through https://aws.amazon.com/bedrock/anthropic/. Access is limited to an initial allow-list of organizations. If your organization has been allow-listed, your AWS account team will reach out directly. For AWS CISO Amy Herzog's perspective on this launch and what it means for the future of cybersecurity, read https://aws.amazon.com/blogs/security/building-ai-defenses-at-scale-before-the-threats-emerge.

Amazon Bedrock now offers Claude Mythos Preview (Gated Research Preview)

Amazon Bedrock, the platform for building generative AI applications and agents at production scale, now offers Claude Mythos Preview in gated research preview as part of Project Glasswing. Claude Myt...

#AWS #AmazonBedrock

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AWS News(Unofficial)

@awsnews.bsky.social

2 days ago

AWS Weekly Roundup: AWS DevOps Agent & Security Agent GA, Product Lifecycle updates, and more (April 6, 2026) Last week, I visited AWS Hong Kong User Group with my team. Hong Kong has a small but strong community, and their energy and passion are high. They recently started a new AI user group, and we hope more people will join. I was able to strengthen my bond with the community through great food […]

AWS Weekly Roundup: AWS DevOps Agent & Security Agent GA, Product Lifecycle updates, and more (April 6, 2026)

Last week, I visi...

#AWS #AmazonBedrock #AmazonElasticContainerService #ArtificialIntelligence #Devops #GenerativeAi #News #Security #Identity #&Compliance #Sustainability #WeekInReview

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roxsross

@roxsross.bsky.social

5 days ago

🛡️ Controla la seguridad de tu IA en AWS desde un solo lugar

aws.amazon.com/blogs/aws/amazon-bedrock...

#AWS #AmazonBedrock #IA #Seguridad

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@awsrecentnews.bsky.social

5 days ago

Amazon Bedrock Guardrails announces general availability of cross-account safeguards Amazon Bedrock Guardrails now enables centralized enforcement of safety controls across all AWS accounts within an organization through cross-account safeguards. Amazon Bedrock Guardrails offers configurable safeguards that help block up to 88% of harmful multimodal content from both input prompts and model responses, while filtering hallucinated responses from foundation models. Central security teams and administrators can now automatically implement these controls for all foundation model interactions in Amazon Bedrock across their organization, eliminating the operational overhead of manually configuring guardrails for each account. With cross-account safeguards, you can specify a guardrail ID from your management account in a new Amazon Bedrock policy that automatically enforces configured safeguards across all member entities including organizational units (OUs) and individual accounts for all model invocations with Amazon Bedrock. This enables operational efficiency through automatic enforcement from a single control point in your management account. You can implement organization-level enforcement for uniform baseline protection, account-level controls for specific departmental requirements, and application-specific safeguards that complement organizational policies, with the union of multiple guardrails enforced during model inference calls. Organizational safeguards in Amazon Bedrock Guardrails is now available in all AWS commercial and GovCloud regions where Bedrock Guardrails is supported. You can access this capability through the AWS management console or using the supported APIs. To learn more about implementing centralized guardrails enforcement across your organization, read the News blog, visit the Amazon Bedrock Guardrails documentation, and explore the Amazon Bedrock Guardrails service page.

🆕 Amazon Bedrock Guardrails enforces safety controls across all AWS accounts, blocking harmful content and hallucinated responses. Central teams can implement uniform protections from a single account, boosting efficiency. Available globally.

#AWS #AmazonBedrock

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AWS News(Unofficial)

@awsnews.bsky.social

5 days ago

Introducing OpenClaw on Amazon Lightsail to run your autonomous private AI agents AWS launches OpenClaw on Amazon Lightsail to run OpenClaw instance, pairing your browser, enabling AI capabilities, and optionally connecting messaging channels. Your Lightsail OpenClaw instance is pre-configured with Amazon Bedrock for starting with your AI assistant immediately — no additional configuration required.

Introducing OpenClaw on Amazon Lightsail to run your autonomous private AI agents

AWS launches OpenClaw on Amazon Lightsail to run OpenClaw instance, pairing your browser, enabling AI capabilities, and optiona...

#AWS #AmazonBedrock #AmazonLightsail #ArtificialIntelligence #Compute #Launch #News

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AWS News(Unofficial)

@awsnews.bsky.social

5 days ago

Amazon Bedrock Guardrails supports cross-account safeguards with centralized control and management Organizational safeguards are now generally available in Amazon Bedrock Guardrails, enabling centralized enforcement and management of safety controls across multiple AWS accounts within an AWS Organization.

Amazon Bedrock Guardrails supports cross-account safeguards with centralized control and management

Organizational safeguards are now ge...

#AWS #AmazonBedrock #AmazonBedrockGuardrails #AmazonMachineLearning #ArtificialIntelligence #AwsOrganizations #Launch #News #Security #Identity #&Compliance

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AWS News(Unofficial)

@awsnews.bsky.social

5 days ago

Amazon Bedrock Guardrails announces general availability of cross-account safeguards Amazon Bedrock Guardrails now enables centralized enforcement of safety controls across all AWS accounts within an organization through cross-account safeguards. Amazon Bedrock Guardrails offers configurable safeguards that help block up to 88% of harmful multimodal content from both input prompts and model responses, while filtering hallucinated responses from foundation models. Central security teams and administrators can now automatically implement these controls for all foundation model interactions in Amazon Bedrock across their organization, eliminating the operational overhead of manually configuring guardrails for each account. With cross-account safeguards, you can specify a guardrail ID from your management account in a new https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_bedrock.html that automatically enforces configured safeguards across all member entities including organizational units (OUs) and individual accounts for all model invocations with Amazon Bedrock. This enables operational efficiency through automatic enforcement from a single control point in your management account. You can implement organization-level enforcement for uniform baseline protection, account-level controls for specific departmental requirements, and application-specific safeguards that complement organizational policies, with the union of multiple guardrails enforced during model inference calls. Organizational safeguards in Amazon Bedrock Guardrails is now available in all AWS commercial and GovCloud regions where Bedrock Guardrails is supported. You can access this capability through the AWS management console or using the supported APIs. To learn more about implementing centralized guardrails enforcement across your organization, read the https://aws.amazon.com/blogs/aws/amazon-bedrock-guardrails-supports-cross-account-safeguards-with-centralized-control-and-management, visit the https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails-enforcements.html, and explore the https://aws.amazon.com/bedrock/guardrails.

Amazon Bedrock Guardrails announces general availability of cross-account safeguards

Amazon Bedrock Guardrails now enables centralized enforcement of safety controls across all AWS accounts within an organization through cross-account safeguards. Amazon Bedrock Guardrails ...

#AWS #AmazonBedrock

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@awsrecentnews.bsky.social

1 week ago

Amazon Bedrock AgentCore Evaluations is now generally available Amazon Bedrock AgentCore Evaluations is now generally available, providing automated quality assessment for AI agents. Evaluations enables developers to monitor agent quality through continuous evaluation of production traffic, validate changes through testing workflows, and measure agent performance against defined expectations. AgentCore Evaluations offers two evaluation types. Online evaluation continuously monitors agent performance in production by sampling and scoring live traces. On-demand evaluation enables teams to test agents programmatically, supporting regression testing in CI/CD pipelines and interactive development workflows. Teams can evaluate agents using 13 built-in evaluators for response quality, safety, task completion, and tool usage. Developers can also use Ground Truth to measure agent performance against expectations, including reference answers for response validation, behavioral assertions for session-level goals, and expected tool execution sequences. For domain-specific requirements, teams can configure custom evaluators using their choice of prompts and model for LLM-based evaluation, or implement custom logic in Python or JavaScript through Lambda-hosted functions for code-based evaluation. Evaluations integrates with AgentCore Observability for unified monitoring and real-time alerts. AgentCore Evaluations is available in nine AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland). Learn more about Amazon Bedrock AgentCore Evaluations through the documentation, and get started with the AgentCore Starter Toolkit

🆕 Amazon Bedrock AgentCore Evaluations is now generally available, offering automated quality assessment for AI agents, continuous monitoring, and custom evaluators for response quality and task completion, available in nine AWS regions.

#AWS #AmazonBedrock

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AWS News(Unofficial)

@awsnews.bsky.social

1 week ago

Amazon Bedrock AgentCore Evaluations is now generally available Amazon Bedrock AgentCore Evaluations is now generally available, providing automated quality assessment for AI agents. Evaluations enables developers to monitor agent quality through continuous evaluation of production traffic, validate changes through testing workflows, and measure agent performance against defined expectations. AgentCore Evaluations offers two evaluation types. Online evaluation continuously monitors agent performance in production by sampling and scoring live traces. On-demand evaluation enables teams to test agents programmatically, supporting regression testing in CI/CD pipelines and interactive development workflows. Teams can evaluate agents using 13 built-in evaluators for response quality, safety, task completion, and tool usage. Developers can also use Ground Truth to measure agent performance against expectations, including reference answers for response validation, behavioral assertions for session-level goals, and expected tool execution sequences. For domain-specific requirements, teams can configure custom evaluators using their choice of prompts and model for LLM-based evaluation, or implement custom logic in Python or JavaScript through Lambda-hosted functions for code-based evaluation. Evaluations integrates with AgentCore Observability for unified monitoring and real-time alerts. AgentCore Evaluations is available in https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/agentcore-regions.html: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland). Learn more about Amazon Bedrock AgentCore Evaluations through the https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/evaluations.html, and get started with the https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/agentcore-get-started-toolkit.html

Amazon Bedrock AgentCore Evaluations is now generally available

Amazon Bedrock AgentCore Evaluations is now generally available, providing automated quality assessment for AI agents. Evaluations enables developers to monitor agent quality through continuous evaluation of p...

#AWS #AmazonBedrock

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roxsross

@roxsross.bsky.social

1 week ago

🧠 Agentes con Memoria: Amazon Bedrock se vuelve 'Stateful'

openai.com/index/introducing-the-st...

#AmazonBedrock #IA #AgentesIA #AWS

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@awsrecentnews.bsky.social

2 weeks ago

Amazon Bedrock AgentCore Runtime now supports managed session storage for persistent agent filesystem state (preview) Amazon Bedrock AgentCore Runtime now offers managed session storage in public preview, enabling agents to persist their filesystem state across stop and resume cycles. Modern agents write code, install packages, generate artifacts, and manage state through the filesystem. Until now, that work was lost when a session stopped. With managed session storage, everything your agent writes to a configured mount path persists automatically, even after the compute environment terminates. When you configure session storage, each session gets a persistent directory at the mount path you specify. Your agent reads and writes files as normal, and AgentCore Runtime transparently replicates data to durable storage. When the session stops, data is flushed during graceful shutdown. When you resume with the same session ID, a new microVM mounts the same storage and the agent continues from where it left off — source files, installed packages, build artifacts, and git history all intact. No checkpoint logic, no save and restore code, and no changes to your agent application required. Session storage supports standard Linux filesystem operations including regular files, directories, and symlinks, with up to 1 GB per session and data retained for 14 days of idle time. Storage communication is confined to a single session's data and cannot access other sessions or AgentCore Runtime environments. Session storage is available in public preview across fourteen AWS Regions: US (N. Virginia, Ohio, Oregon), Canada (Central), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Tokyo), Europe (Frankfurt, Ireland, London, Paris, Stockholm). To learn more, see persist files across stop/resume in the Amazon Bedrock AgentCore documentation.

🆕 Amazon Bedrock AgentCore Runtime now supports managed session storage for persistent agent filesystem state in preview, enabling agents to retain files, packages, and artifacts across session stops and resumes without additional coding. Available in 14 AWS regions.

#AWS #AmazonBedrock

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AWS News(Unofficial)

@awsnews.bsky.social

2 weeks ago

Amazon Bedrock AgentCore Runtime now supports managed session storage for persistent agent filesystem state (preview) Amazon Bedrock AgentCore Runtime now offers managed session storage in public preview, enabling agents to persist their filesystem state across stop and resume cycles. Modern agents write code, install packages, generate artifacts, and manage state through the filesystem. Until now, that work was lost when a session stopped. With managed session storage, everything your agent writes to a configured mount path persists automatically, even after the compute environment terminates. When you configure session storage, each session gets a persistent directory at the mount path you specify. Your agent reads and writes files as normal, and AgentCore Runtime transparently replicates data to durable storage. When the session stops, data is flushed during graceful shutdown. When you resume with the same session ID, a new microVM mounts the same storage and the agent continues from where it left off — source files, installed packages, build artifacts, and git history all intact. No checkpoint logic, no save and restore code, and no changes to your agent application required. Session storage supports standard Linux filesystem operations including regular files, directories, and symlinks, with up to 1 GB per session and data retained for 14 days of idle time. Storage communication is confined to a single session's data and cannot access other sessions or AgentCore Runtime environments. Session storage is available in public preview across fourteen AWS Regions: US (N. Virginia, Ohio, Oregon), Canada (Central), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Tokyo), Europe (Frankfurt, Ireland, London, Paris, Stockholm). To learn more, see https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/runtime-persistent-filesystems.html in the Amazon Bedrock AgentCore documentation.

Amazon Bedrock AgentCore Runtime now supports managed session storage for persistent agent filesystem state (preview)

Amazon Bedrock AgentCore Runtime now offers managed session storage in public preview, enabling agents to persist their filesystem state across stop and re...

#AWS #AmazonBedrock

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AWS News Feed on 🦋

@awsrecentnews.bsky.social

2 weeks ago

Amazon Bedrock AgentCore adds support for Chrome policies and custom root CA Amazon Bedrock AgentCore now enables customers to configure Chrome Enterprise policies for AgentCore Browser and specify custom root Certificate Authority (CA) certificates for both AgentCore Browser and Code Interpreter. These enhancements help ensure enterprise requirements are met when allowing AI agents to operate within organizations that have strict security policies and internal infrastructure using custom certificates. With Chrome policies, you can leverage over 100+ configurable policies for managing browser behavior across security, URL filtering, content settings, and more to enforce organizational compliance requirements. For example, restrict agents to specific URLs for kiosk-mode operations, disable password managers and downloads for data-entry tasks, or implement URL blocklists for regulatory compliance. Custom root CA support enables agents to seamlessly connect to internal services like Artifactory, Jira, and finance portals that use SSL certificates signed by your organization's internal Certificate Authority, and work with corporate proxies performing TLS interception. These features are available in all 14 AWS Regions where Amazon Bedrock AgentCore Browser and Code Interpreter are available: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and Canada (Central). To learn more, visit the AgentCore Browser documentation.

🆕 Amazon Bedrock AgentCore now supports Chrome policies and custom root CA for enterprise compliance and secure internal service access in 14 AWS regions. Manage browser behavior and connect with custom certificates. For details, see the AgentCore Browser documentation.

#AWS #AmazonBedrock

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AWS News(Unofficial)

@awsnews.bsky.social

2 weeks ago

AWS Weekly Roundup: Claude Sonnet 4.6 in Amazon Bedrock, Kiro in GovCloud Regions, new Agent Plugins, and more (February 23, 2026) Last week, my team met many developers at Developer Week in San Jose. My colleague, Vinicius Senger delivered a great keynote about renascent software—a new way of building and evolving applications where humans and AI collaborate as co-developers using Kiro. Other colleagues, Du’An Lightfoot, Elizabeth Fuentes, Laura Salinas, and Sandhya Subramani spoke about building and […]

AWS Weekly Roundup: Claude Sonnet 4.6 in Amazon Bedrock, Kiro in GovCloud Regions, new Agent Plugins, and more (February 23, 2026)

Last week, my team met many developers at Developer Week in ...

#AWS #AmazonAurora #AmazonBedrock #AmazonEc2 #AmazonNova #AmazonSagemaker #Launch #News #WeekInReview

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AWS News(Unofficial)

@awsnews.bsky.social

2 weeks ago

Amazon Bedrock AgentCore adds support for Chrome policies and custom root CA Amazon Bedrock AgentCore now enables customers to configure Chrome Enterprise policies for AgentCore Browser and specify custom root Certificate Authority (CA) certificates for both AgentCore Browser and Code Interpreter. These enhancements help ensure enterprise requirements are met when allowing AI agents to operate within organizations that have strict security policies and internal infrastructure using custom certificates. With Chrome policies, you can leverage over 100+ configurable policies for managing browser behavior across security, URL filtering, content settings, and more to enforce organizational compliance requirements. For example, restrict agents to specific URLs for kiosk-mode operations, disable password managers and downloads for data-entry tasks, or implement URL blocklists for regulatory compliance. Custom root CA support enables agents to seamlessly connect to internal services like Artifactory, Jira, and finance portals that use SSL certificates signed by your organization's internal Certificate Authority, and work with corporate proxies performing TLS interception. These features are available in all 14 https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/agentcore-regions.html where Amazon Bedrock AgentCore Browser and Code Interpreter are available: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and Canada (Central). To learn more, visit the https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/browser-tool.html.

Amazon Bedrock AgentCore adds support for Chrome policies and custom root CA

Amazon Bedrock AgentCore now enables customers to configure Chrome Enterprise policies for AgentCore Browser and specify custom root Certificate Authority (CA) certificates for both AgentCore Brow...

#AWS #AmazonBedrock

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roxsross

@roxsross.bsky.social

2 weeks ago

🚀 Novedades AWS: Más potencia para Bedrock y SageMaker

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AWS #AmazonBedrock #InteligenciaArtificial #Cloud

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roxsross

@roxsross.bsky.social

2 weeks ago

🚀 AWS Weekly: Claude Opus 4.6, EC2 nuevas instancias y más novedades

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AWS #CloudComputing #AmazonBedrock #TechNews

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roxsross

@roxsross.bsky.social

2 weeks ago

🚀 AWS lanza nuevas instancias EC2 y modelos en Bedrock

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AWS #CloudComputing #AmazonBedrock #Innovacion

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roxsross

@roxsross.bsky.social

2 weeks ago

🚀 AWS Weekly: Claude Sonnet 4.6, Kiro en GovCloud y más novedades

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AWS #AmazonBedrock #IA #Tech

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roxsross

@roxsross.bsky.social

2 weeks ago

🚀 Novedades AWS: NVIDIA en Bedrock, Nova Forge y más

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AWS #GenerativeAI #AmazonBedrock #TechNews

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roxsross

@roxsross.bsky.social

2 weeks ago

🤖 Resumen Semanal AWS: NVIDIA Nemotron 3 Super en Amazon Bedrock, Nova Forge SDK y...

aws.amazon.com/blogs/aws/aws-weekly-rou...

#AmazonBedrock #GenerativeAI #AmazonCorretto #AWS #RoxsRoss

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2 weeks ago

Amazon Bedrock AgentCore Runtime adds WebRTC support for real-time bidirectional streaming Amazon Bedrock AgentCore Runtime now supports WebRTC for real-time bidirectional streaming between clients and agents, adding to the existing WebSocket protocol support. With WebRTC, developers can build voice agents for browser and mobile applications that stream audio and video bidirectionally with low latency using peer-to-peer, UDP-based transport, enabling natural, real-time conversational experiences. WebRTC joins WebSocket as the second bidirectional streaming protocol supported by AgentCore Runtime. While WebSocket provides persistent, full-duplex connections for text and audio streaming over TCP, WebRTC is optimized for real-time media delivery where low latency is critical, such as voice agents in browser and mobile applications. WebRTC requires a TURN relay for media traffic, and AgentCore Runtime gives you flexibility in how you set that up: Amazon Kinesis Video Streams managed TURN for a fully managed experience with native AWS IAM integration, a third-party provider, or your own self-hosted TURN infrastructure. Both protocols benefit from AgentCore Runtime session isolation, observability, and scaling. WebRTC is supported in AgentCore Runtime across fourteen AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Canada (Central), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), and Europe (Stockholm). To get started, see Bidirectional streaming in the Amazon Bedrock AgentCore documentation, which includes ready-to-deploy examples for both protocols: an Amazon Nova Sonic voice agent with KVS TURN server, Pipecat voice agents with WebSocket, WebRTC, and Daily transport, a LiveKit voice agent, and a Strands Agents SDK voice agent.

🆕 Amazon Bedrock AgentCore Runtime adds WebRTC for real-time, low-latency voice in browsers/mobile, complementing WebSocket. Choose managed TURN or self-hosted. Available in 14 regions. See documentation for examples.

#AWS #AmazonBedrock

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AWS News(Unofficial)

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2 weeks ago

Amazon Bedrock AgentCore Runtime adds WebRTC support for real-time bidirectional streaming Amazon Bedrock AgentCore Runtime now supports WebRTC for real-time bidirectional streaming between clients and agents, adding to the existing WebSocket protocol support. With WebRTC, developers can build voice agents for browser and mobile applications that stream audio and video bidirectionally with low latency using peer-to-peer, UDP-based transport, enabling natural, real-time conversational experiences. WebRTC joins WebSocket as the second bidirectional streaming protocol supported by AgentCore Runtime. While WebSocket provides persistent, full-duplex connections for text and audio streaming over TCP, WebRTC is optimized for real-time media delivery where low latency is critical, such as voice agents in browser and mobile applications. WebRTC requires a TURN relay for media traffic, and AgentCore Runtime gives you flexibility in how you set that up: Amazon Kinesis Video Streams managed TURN for a fully managed experience with native AWS IAM integration, a third-party provider, or your own self-hosted TURN infrastructure. Both protocols benefit from AgentCore Runtime session isolation, observability, and scaling. WebRTC is supported in AgentCore Runtime across fourteen AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Canada (Central), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), and Europe (Stockholm). To get started, see https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/runtime-bidirectional-streaming.html in the Amazon Bedrock AgentCore documentation, which includes ready-to-deploy examples for both protocols: an https://github.com/awslabs/amazon-bedrock-agentcore-samples/tree/main/01-tutorials/01-AgentCore-runtime/06-bi-directional-streaming-webrtc, Pipecat voice agents with https://github.com/pipecat-ai/pipecat-examples/tree/main/deployment/aws-agentcore-websocket, https://github.com/pipecat-ai/pipecat-examples/tree/main/deployment/aws-agentcore-webrtc, and https://github.com/pipecat-ai/pipecat-examples/tree/main/deployment/aws-agentcore-daily, a https://github.com/livekit-examples/agent-deployment/tree/main/bedrock-agentcore, and a https://github.com/awslabs/amazon-bedrock-agentcore-samples/tree/main/01-tutorials/01-AgentCore-runtime/06-bi-directional-streaming.

Amazon Bedrock AgentCore Runtime adds WebRTC support for real-time bidirectional streaming

Amazon Bedrock AgentCore Runtime now supports WebRTC for real-time bidirectional streaming between clients and agents, adding to the existing WebSocket protocol support. With WebRTC,...

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3 weeks ago

NVIDIA Nemotron 3 Super now available on Amazon Bedrock Amazon Bedrock now supports NVIDIA Nemotron 3 Super, an open hybrid Mixture-of-Experts (MoE) model designed for complex multi-agent applications. Built for agentic workloads, Nemotron 3 Super delivers fast, and cost-efficient inference enabling AI agents to maintain focus and accuracy across long, multi-step tasks without losing context. Fully open with weights, datasets, and recipes, the model supports easy customization and secure deployment, making it well-suited for enterprises, startups, and individual developers building multi-agent workflows, and advanced reasoning applications. Amazon Bedrock gives customers access to Nemotron 3 Super through a single, fully managed API — with no infrastructure to provision or models to host. Bedrock's serverless inference, built-in security controls, and compatibility with OpenAI API specifications make it easy to integrate Nemotron 3 Super into existing workflows and deploy at production scale with confidence. NVIDIA Nemotron 3 Super is now available in Amazon Bedrock across select AWS Regions. For the full list of available AWS Regions, refer to the documentation. To learn more and get started, visit the Amazon Bedrock console or the service documentation here. To get started with Amazon Bedrock OpenAI API-compatible service endpoints, visit documentation here.

🆕 Amazon Bedrock now offers NVIDIA Nemotron 3 Super, an open hybrid MoE model for complex multi-agent tasks. It provides fast, cost-efficient inference for AI agents, fully open for customization, and easy to deploy via Bedrock's managed API across select AWS Regions.

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3 weeks ago

Minimax M2.5 and GLM 5 models now available on Amazon Bedrock Amazon Bedrock expands model selection for customers by adding support for GLM 5 and Minimax M2.5. GLM 5 is a frontier‑class, general‑purpose large language model optimized for complex systems engineering and long‑horizon agentic tasks. It builds on the GLM 4.5 agent‑centric lineage and is designed to support multi‑step reasoning, math (including AIME‑style benchmarks), advanced coding, and tool‑augmented workflows, with long context support suitable for sophisticated agents and enterprise applications. MiniMax M2.5 is an agent‑native frontier model trained explicitly to reason efficiently, decompose tasks optimally, and complete complex workflows under real‑world time and cost constraints. It achieves task completion speeds comparable to or faster than leading proprietary frontier models by combining high inference throughput with reinforcement learning focused on token‑efficient reasoning and better decision‑making in agentic scaffolds. MiniMax M2.5 and GLM 5 are now available in Amazon Bedrock across select AWS Regions. For the full list of available AWS Regions, refer to the documentation.

🆕 Amazon Bedrock now offers GLM 5 and Minimax M2.5 models for complex tasks. GLM 5 supports multi-step reasoning and coding; Minimax M2.5 optimizes task decomposition for efficient workflows. Available in select AWS Regions.

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