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AI Agents & Workflows

1235 summarised stories about AI Agents & Workflows, each linking back to the original source. Browse all topics →

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Friday, 4 September 2026

Microsoft built a prompt injection detector. Then it caught a phishing campaign instead.

The New Stack 1 month ago 25

Microsoft Defender for Office 365 detected a phishing campaign that inserted invisible Unicode tag characters into email text, altering what software processes while recipients saw normal offers. The hunting signature fired on about 21,000 messages the day before the campaign started and the next day, then rose to more than 1.3 million the following day and over 2.3 million two days later. This shifts defenses toward handling Unicode tag characters in pipelines (including tokenization and normalization) so that prompt-injection-style text manipulation can’t bypass filters or confuse downstream AI/agents.

Run agent-driven Amazon SageMaker HyperPod operations with InstantStart

Amazon Web Services 1 month ago 47

InstantStart lets an AI agent run multi-stage Amazon SageMaker HyperPod cluster setup by driving the same control-plane APIs behind the web console and terminal workflows. EKS control-plane creation takes about 8–12 minutes before dependency installation and HyperPod cluster creation proceed. As a result, long-running steps become retryable, the agent asks only decision inputs (like zone and instance details), and it returns a verified running cluster with storage mounted instead of a pending request.

Scraping 107M rows of data to build this

Ben's Bites 1 month ago 10

A developer scraped 107 million rows of UK council spending data and built a map-style website showing how each council spent money and on whom. The project processed 8.2 billion tokens and ultimately collected spending data from 319 of 339 England councils after some councils blocked automated scraping. The developer consolidated and cleaned the dataset, created visual prototypes including map versions, and is preparing to open-source the site and data after final tweaks and testing.

Nvidia PAIR makes it easy to create a household data center for running agentic AI tasks

SiliconANGLE 1 month ago 31 ● 7 sources

Nvidia introduced Personal AI Router (PAIR), a local distributed clustering tool that lets people use idle home PCs and Macs to run agentic AI subtasks across multiple machines. Nvidia said the client is available in beta for macOS, Windows, and Linux. PAIR sets up automatic proxy connections to tools like LM Studio and Ollama, discovers devices via mDNS/IP, dynamically redistributes subtasks when nodes become unavailable, and returns results to the main node for faster task completion.

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