FORMWEFTFresh intelligence
Cross-border intelligence
按来源、平台、主题和时间查看已收录的公开动态。
Fresh intelligence
Discover tools at runtime with AWS Agent Registry
Hardcoded tool wiring breaks down as an agent's catalog grows from a handful of tools to hundreds. This post walks through a runtime Discover, Instantiate, Execute loop built on AWS Agent Registry, where an orchestrator discovers MCP server
AWS 人工智能 · Published 10/21/2026, 00:22Securing AI agent identity with X.509 PKI on AWS
Learn how to secure multi-agent AI systems with cryptographic identity using Keyfactor EJBCA and AWS services. This reference architecture combines signed request envelopes, user-signed delegation assertions, RFC 8693 audience-scoped tokens
AWS 人工智能 · Published 10/21/2026, 00:03How Eon built multi-cloud investigation with an MCP Gateway on Amazon Bedrock AgentCore
Learn how Eon replaced per-tool credentials and local MCP processes across AWS, GCP, and Azure with a single authenticated Amazon Bedrock AgentCore gateway, giving more than 100 developers and autonomous agents unified access to production
AWS 人工智能 · Published 10/20/2026, 23:57Build a semantic layer for agentic AI on AWS with Denodo and Amazon Bedrock AgentCore
Build a governed semantic layer for agentic AI on AWS with the Denodo Platform and Amazon Bedrock AgentCore. It federates Amazon Aurora, Amazon Redshift, and an on-premises PostgreSQL database into a single customer 360 view an agent querie
AWS 人工智能 · Published 10/20/2026, 23:39Build a semantic layer for agentic AI on AWS with Strategy Mosaic and Amazon Bedrock AgentCore
The third post in our semantic-layer series builds a customer 360 across Amazon Redshift and Amazon Aurora with Strategy Mosaic, exposes it to a Strands agent on Amazon Bedrock AgentCore through the Mosaic MCP server, and enforces per-user
AWS 人工智能 · Published 10/20/2026, 23:36Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore
The third post in our semantic-layer series builds a governed customer 360 model on Amazon Redshift with AtScale, then exposes it to a Strands agent on Amazon Bedrock AgentCore through the AtScale MCP server. Identity propagation, RBAC, row
AWS 人工智能 · Published 10/20/2026, 23:33Structured outputs for Anthropic Claude models on Amazon Bedrock
Amazon Bedrock now supports structured outputs for all Anthropic Claude models on both the bedrock-runtime and bedrock-mantle endpoints. Receive schema-compliant JSON that conforms to a defined structure, without custom parsing, retry logic
AWS 人工智能 · Published 10/20/2026, 07:32Developers can now access SageMaker Studio through the new AWS experience
New Amazon SageMaker AI customers can now land in a fully configured SageMaker Studio environment in only a few steps. Sign up with an identity you already have, such as Amazon, Apple, GitHub, or Google, with no advanced AWS account or cred
AWS 人工智能 · Published 10/20/2026, 06:39Amazon SageMaker JumpStart: 2026 year-to-date in review
Amazon SageMaker JumpStart onboarded over 100 new models from 30 providers in the first three quarters of 2026. This recap covers the model-onboarding highlights and JumpStart enhancements, including the simplified Model Hub, pre-configured
AWS 人工智能 · Published 10/20/2026, 05:14Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock
TwelveLabs Pegasus 1.5 is now available in Amazon Bedrock. The video language model turns long-form video into structured, timestamped metadata: define the moments that matter and get every matching segment back as JSON, with new video segm
AWS 人工智能 · Published 10/20/2026, 00:49How Deepgram optimized voice AI at scale with AWS Trainium
Deepgram worked with the AWS Forward Deployed Engineering team to port its Nova-3 speech-to-text model to AWS Trainium2 for offline batch inference. This post covers porting to the AWS Neuron stack, kernel-level tuning, a data-parallel Rust
AWS 人工智能 · Published 10/20/2026, 00:23Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM
vLLM's prefill-decode disaggregation splits LLM inference across engine instances but must transfer the KV cache between them. This post introduces a push-based NIXL connector that moves transfer coordination off the critical path, deliveri
AWS 人工智能 · Published 10/20/2026, 00:05Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM
Multi-turn agentic workloads reprocess growing conversation context each turn, driving up latency. See how bi-directional KV cache transfer lets prefill and decode nodes reuse previously computed context across turns, cutting time to first
AWS 人工智能 · Published 10/20/2026, 00:03Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore
Autonomous AI agents fail softly: latency stays flat while answer quality quietly erodes. This post shares a nine-stage evaluation framework, built on Amazon Bedrock AgentCore, that catches silent quality regressions across the full agent l
AWS 人工智能 · Published 10/17/2026, 04:48Introducing Reflection Beam: an open-weight model for agentic coding on AWS
Reflection AI's Beam is an open-weight model for agentic coding and long-horizon tasks. This post shows how to deploy Beam on AWS: start with an Amazon SageMaker JumpStart real-time endpoint, or use Amazon SageMaker HyperPod Inference with
AWS 人工智能 · Published 10/16/2026, 23:23Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart
Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a SageMaker AI endpoint in your own AWS account using SageMaker Studio or the SageMaker Python SDK, and run your first
AWS 人工智能 · Published 10/16/2026, 01:43Trust in Depth: Giving agents more autonomy without losing control
Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe, and prove-that lets agents act on their own when their acti
AWS 人工智能 · Published 10/15/2026, 23:05Build self-improving document processing using Amazon Bedrock AgentCore
Learn how to build an agentic intelligent document processing (IDP) system using Amazon Bedrock AgentCore that classifies, extracts, validates, and learns from business documents with minimal human intervention, automatically handling new d
AWS 人工智能 · Published 10/15/2026, 00:24Generate presentations with Amazon Bedrock AgentCore
This post walks you through building an AI agent system with Amazon Bedrock AgentCore that automates PowerPoint presentation creation from enterprise documents. A supervisor agent, Retrieval Augmented Generation, and Amazon Bedrock Guardrai
AWS 人工智能 · Published 10/14/2026, 21:58How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock
Learn how Tamnoon built Tami, an agentic cloud remediation orchestrator on Amazon Bedrock that autonomously investigates and safely remediates cloud security findings from CNAPP and cloud-native sources. The approach drove a 90%+ reduction
AWS 人工智能 · Published 10/14/2026, 21:53Deploy and evaluate models with Amazon SageMaker JumpStart
Learn how to deploy an available model from Amazon SageMaker JumpStart, run a lightweight and repeatable performance test using the SageMaker Python SDK, and delete the endpoint when testing is complete.
AWS 人工智能 · Published 10/14/2026, 21:14Building agents that transact with Anchor Browser and AgentCore payments
Learn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon Bedrock AgentCore payments checks budgets, signs transactions
AWS 人工智能 · Published 10/14/2026, 04:10Manage private pricing offers for Amazon Bedrock with managed entitlements
Managing AI model access across dozens or hundreds of AWS accounts creates friction when each account must accept AWS Marketplace Private Pricing Offers individually. This post shows two ways to activate MPPO entitlements in AWS License Man
AWS 人工智能 · Published 10/14/2026, 01:17Natural language security queries at Orca Security using Amazon Bedrock
Orca Security built Discovery AI, a natural language query agent on Amazon Bedrock that converts plain-English questions into Sonar queries. The post shares the multi-stage architecture and the results: 90% lower query cost, 93% fewer input
AWS 人工智能 · Published 10/14/2026, 00:03
