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Cloudflare brings paid access to MCP tools — who controls the agent’s spending?
Cloudflare’s Monetization Gateway lets sellers charge AI agents for MCP tools and APIs. Here’s what developers need to control before agents start paying.
“No human wants to look at billions of traces”: Dynatrace bought Arize because agents need a new kind of observability
The $915M acquisition is now complete. Dynatrace and Arize explain why AI agents could soon be the ones reading the telemetry.
Announcing AWS Well-Architected Agent, an AI-powered intelligence to optimize your cloud environment (preview)
Introducing the public preview of AWS Well-Architected Agent, an AI-powered service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications' cost, security, performance, and resilience—with ready-to-implement fixes aligned to your business goals.
Serve live, governed data in AI-built apps with Amazon Quick
With Live Data in Apps in Amazon Quick, AI-built apps query your governed Quick Sight datasets in real time instead of static, build-time snapshots. Each query runs as the person viewing the app, so row-level and column-level security apply per reader. Learn how to build, publish, and share a live-data app using natural language.
Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors
Learn how to use Amazon S3 Vectors as the persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT), deployed on Amazon Elastic Kubernetes Service (Amazon EKS). This post shows how NAT's memory subsystem works and how to implement Amazon S3 Vectors as a custom memory provider, using a multi-agent investment research use case.
Bit Cloud’s next chapter starts after the AI builds your app
For many developers, building an application from an AI prompt is already part of the workday. Turning that first version into something a team can use, maintain, and build upon takes more: a place to run it, a way to review changes, and confidence that the next update will work as intended. That’s the opportunity behind Bit Cloud 2.0 and Hope, the company’s built-in AI builder. In this episode
Uplifting conversion across the acquisition funnel with personalization using contextual bandits on AWS
Generative AI makes it cheap to produce personalized content at scale, but which variation do you show each customer? Amazon Payments used a multi-objective contextual bandit on Amazon SageMaker AI to personalize an acquisition funnel, achieving a high single-digit conversion lift for one audience, and learning why content, not the model, was the constraint.
Transform AI from a security blind spot into a roadmap
AI adoption is already outpacing governance. Blocking it won’t help; CISOs need a sanctioned path that’s easier and more useful than the workaround.
Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows
Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt. This post walks through building framework-agnostic ambient agents on Amazon Bedrock AgentCore using Amazon SQS, AWS Lambda, and Amazon DynamoDB, with a single ask_human tool and a Jobs page for human-in-the-loop review.
Implementing Multi-Environment Access for Claude Platform on AWS
Learn how to configure secure, multi-environment access to Claude Platform on AWS from a single subscription: cross-account SigV4 for AWS workloads, workspace-scoped API keys for developers, and OIDC federation for external environments, with workspace-level isolation in a dedicated AI Services account.
Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter
Amazon Quick Sight is a fully managed, cloud-native business intelligence (BI) capability for building and publishing interactive dashboards. The new hierarchy filter gives dashboard authors rich, multi-level filtering in a single compact control, reducing clutter and guiding readers to the data they need in fewer steps.
AWS launches a local answer to TypeSafe’s Jev decision model
AWS’s new Strands Decider 2B is a small decision model that runs locally and gives AI agents a fast check before they act, with no invalid outputs.
How uniopen customized Amazon Nova to their retail moderation policies for production deployment
See how uniopen, a retail platform from Taiwan's Uni-President Enterprises Group, adapted Amazon Nova 2 Lite to its content-moderation policies using supervised fine-tuning in Amazon SageMaker AI and prompt optimization. Business-relevant evaluation and release gates kept quality in check.
A live Kubernetes cluster can still have an ownership gap
After a Kubernetes cluster goes live, platform and application teams need clear responsibilities for upgrades, access, recovery, and shared workloads.
ISOC In Microsoft Defender: Deep Dive And When You Need An ISOC Workspace
On September 23, 2026, Microsoft announced the public preview of the Integrated Security Operations Center (ISOC) in Microsoft Defender. The headline is straightforward: XDR andContinue Reading 25 Min. Read
Use Graph RAG when relationships are part of the evidence
Discover how Graph RAG combines vector search with explicit relationship mapping to provide reliable evidence for complex AI questions.
In AI security, there’s no room for a defender’s mindset
AI threats require an offensive security mindset. Learn how engineering-led teams use proactive automation to stop cyber adversaries.
AI coding agents leaked 13,000 screenshots, and nobody hacked them
AI coding agents leaked 13,000 internal screenshots from 300+ organizations by creating public GitHub repos. Here’s how it happened and how to stop it.
AI agents speed up development — data access slows them down
AI agents made building internal apps fast. Getting them safe access to live production data is still slow, manual, and scattered across every system.
Amazon S3 Tables now support all Apache Iceberg V3 data types
Amazon S3 Tables now support all data types in the Apache Iceberg V3 spec, along with column default values, deletion vectors, and row lineage. Upgrade existing V2 tables or create new V3 tables with built-in compaction, maintenance, and engine compatibility.
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