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  • Securing Amazon Quick from POC to production: Agents, Flows, and Spaces

    calendar Sep 1, 2026 · aws.amazon.com/blogs/machine-learning
    Securing Amazon Quick from POC to production: Agents, Flows, and Spaces

    Amazon Quick proof-of-concept projects often stall when security teams review the production plan. This post walks through designing dashboards, Spaces, knowledge bases, agents, and Flows with security controls that hold as you scale: dataset shaping, agent isolation, document classification, and approval gates. Link …


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  • How t54 built a trust layer with Amazon Bedrock AgentCore payments

    calendar Sep 1, 2026 · aws.amazon.com/blogs/machine-learning
    How t54 built a trust layer with Amazon Bedrock AgentCore payments

    t54 built x402-secure, a trust layer on Amazon Bedrock AgentCore payments that scores every endpoint before an autonomous agent pays it. See how session budgets, credential isolation, and a deterministic trust gate have governed more than 20 million agent-initiated transactions with no human in the loop. Link to …


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  • How ZS democratized secure ad-hoc analytics with Amazon SageMaker

    calendar Sep 1, 2026 · aws.amazon.com/blogs/machine-learning
    How ZS democratized secure ad-hoc analytics with Amazon SageMaker

    Learn how ZS built a security-hardened Amazon SageMaker platform that balances developer agility with healthcare-grade governance, serving 1,000+ daily active users across 200+ SageMaker domains. Link to article: …


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  • How Boomi Scribe streamlines documentation using AWS

    calendar Sep 1, 2026 · aws.amazon.com/blogs/machine-learning
    How Boomi Scribe streamlines documentation using AWS

    Boomi Scribe is an AI-powered agent on AWS that automatically generates documentation for enterprise integration workflows. Learn how Boomi uses Amazon Bedrock, Amazon SageMaker AI, Amazon S3, Amazon DynamoDB, and AWS Lambda to parse integration DAGs, generate detailed documentation, and compare component versions at …


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  • AWS recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025

    calendar Aug 31, 2026 · aws.amazon.com/blogs/machine-learning
    AWS recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025

    We're excited to share that AWS has been recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025. In this evaluation of 13 providers, AWS received the highest score in the Strategy category. Link to article: …


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  • Manage agents, tools and skills at scale with AWS Agent Registry

    calendar Aug 31, 2026 · aws.amazon.com/blogs/machine-learning
    Manage agents, tools and skills at scale with AWS Agent Registry

    AWS Agent Registry is now generally available: a single, searchable, governed catalog for the agents, tools, skills, and custom resources across your organization. This post explains what Registry is and walks through its publishing, curation, and discovery workflows, plus enterprise considerations and what's next. …


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  • Build observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base with AWS CloudFormation

    calendar Aug 31, 2026 · aws.amazon.com/blogs/machine-learning
    Build observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base with AWS CloudFormation

    This post builds an enterprise agentic retrieval solution on the Amazon Bedrock Managed Knowledge Base and Amazon Bedrock AgentCore. An agent reasons, routes across multiple knowledge bases, and returns cited answers, with seven layers of observability and both on-demand and continuous evaluation, all deployed with a …


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  • Build multi-tenant agentic chat applications on enterprise data with Amazon Bedrock Managed Knowledge Base

    calendar Aug 31, 2026 · aws.amazon.com/blogs/machine-learning
    Build multi-tenant agentic chat applications on enterprise data with Amazon Bedrock Managed Knowledge Base

    Learn how to build a multi-tenant agentic document chat application on Amazon Bedrock Managed Knowledge Base, where users upload documents and immediately ask grounded questions. This post covers the ingestion and retrieval flows, the asynchronous indexing lifecycle, per-user data isolation, and best practices for …


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