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  • AI agents spark an identity cleanup

    Identity and access management is getting a second look as AI agents move from pilots into production. The rush to deploy them is exposing decades of stitched-together identity tools, integration costs and security gaps that enterprises can no longer ignore.

    SiliconANGLE3 min read
  • AI agent identity security demands layered defenses, Omdia says

    AI agent identity security is testing whether consolidated platforms can protect a growing class of machine identities. Palo Alto Networks Inc.’s acquisition of CyberArk Software Ltd. reflects broader consolidation in the identity security market. Okta Inc.

    SiliconANGLE3 min read
  • Okta builds shared architecture for agent runtime security

    Agent runtime security requires controls across the technology stack as enterprises move AI agents into production. This week, Okta turned its agent security framework into a multivendor reference architecture through the Blueprint Alliance.

    SiliconANGLE3 min read
  • Grok 4.7 is now available on Amazon Bedrock

    xAI's Grok 4.7 is now available on Amazon Bedrock: a frontier model for coding, long-running agents, and knowledge work. It offers a 500K token context window and four configurable reasoning effort levels, reachable through the Responses, Chat Completions, and Converse APIs.

    AWS ML Blog11 min read
  • Introducing Claude Sonnet 5.5 on AWS

    Claude Sonnet 5.5 is now available on Amazon Bedrock and Claude Platform on AWS. It's a smarter, more efficient Sonnet model for focused coding and knowledge work, with a lower cost per task at faster speed. This post covers what's new, when to choose Sonnet, and how to get started.

    AWS ML Blog5 min read
  • Generate images and video with vLLM-Omni on SageMaker AI – Part 2

    Deploy two generative media models from one AWS vLLM-Omni Deep Learning Container on Amazon SageMaker AI. Generate an image with FLUX.2-klein through real-time inference, then animate it into video with Wan2.1-VACE through asynchronous inference, and retrieve the MP4 from Amazon S3.

    AWS ML Blog9 min read
  • Implementing synthetic monitoring using Amazon Nova Act

    Learn an agent-driven approach to synthetic monitoring using Amazon Nova Act and Amazon Bedrock AgentCore. The post covers the architecture and patterns for resilient, managed user-journey validation that moves beyond brittle UI scripts, with a complete sample implementation.

    AWS ML Blog11 min read
  • Automating Amazon Textract adapter lifecycle management across accounts

    Learn how to operationalize Amazon Textract Custom Queries adapters for production: infrastructure as code with AWS CloudFormation and Terraform, a cross-account adapter promotion process, a pre-classification routing pattern for multiple form versions, and production security controls such as VPC…

    AWS ML Blog19 min read
  • S3 Is the Future, S3 Is the Past

    My comment on S3 Is the Future, S3 Is the Past — Hacker News.One thing I find notable about S3 today is that, while it used to drop in price reasonably often, there hasn't been a price drop in a full decade: 2006-03-14 $0.150/GB-month 2010-11-01 $0.140/GB-month 2012-02-01 $0.125/GB-month 2012-12-01…

    Simon Willison1 min read
  • NarrateAI: production-ready LLM quality assurance on Amazon Bedrock

    NarrateAI delivers production-ready LLM quality assurance on Amazon Bedrock. This post details five techniques—adaptive pipeline orchestration, cross-account multi-model failover, real-time streaming evaluation, composite evaluation, and data accuracy verification—that reach about 99% numerical…

    AWS ML Blog21 min read
  • How Datacor built self-service rental analytics with Amazon Quick Sight

    Learn how Datacor built a self-service rental analytics experience for gas and welding distributors by embedding Amazon Quick Sight dashboards and natural language querying into its TrackAbout platform, powered by an automated cross-cloud data pipeline and multi-tenant row-level security.

    AWS ML Blog14 min read
  • Multi-Region training with Amazon SageMaker HyperPod and Qumulo

    Amazon SageMaker HyperPod and Cloud Native Qumulo let you place training compute in one AWS Region while keeping your dataset in another. This post shares the architecture and validation results from a cross-Region training run, where a remote cluster matched a co-located cluster's throughput after…

    AWS ML Blog16 min read
  • Speaker-labeled transcription with WhisperX on SageMaker AI

    The AWS WhisperX Deep Learning Container packages Whisper, wav2vec2 forced alignment, and speaker diarization into a GPU-ready image. Learn how to deploy it to Amazon SageMaker AI real-time and asynchronous endpoints for word-level, speaker-labeled transcription, plus the production details that…

    AWS ML Blog13 min read

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