Visual Studio Magazine

Data Anomaly Detection Using LightGBM

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...
Help Net Security

Google’s new agent security system detects tool misuse, loops and rogue behavior

Google’s Agent Anomaly Detection monitors AI agents for suspicious behavior, policy violations, tool misuse, and operational risks.

[Eliminate 4,100 Hours of Annual Emergency Response] Building a Pipeline for Automatic Detection of 'Invisible Micro-Abnormalities' in Production Lines Using Polars, STOMP, and ...

What is the most exhausting factor for maintenance teams in manufacturing facilities?It is the sudden line stoppages (major breakdowns), late-night emergency calls, and the 'scramble maintenance' ...

Azure AI Anomaly Detector to be retired on October 1st—How to avoid losing the basis for your decisions during the migration to Fabric or OSS

Confirmed on September 27, 2026ConclusionOrganizations using Azure AI Anomaly Detector must switch to operations that do not rely on API calls to the legacy service before it is retired on October 1, ...
techtarget

What is anomaly detection? An overview and explanation

Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range. An anomaly is anything that deviates from what is standard or expected. Humans and ...
InfoQ

Anomaly Detection Using ML.NET

Nowadays, we are flooded on all sides with an enormous amount of data. Large companies store vast amounts of statistical information, production, or financial reports. More and more often, we want or ...