The machine learning tools on Azure have rapidly ... That’s when you can start using the Anomaly Detection APIs for real business value. Author of InfoWorld's Enterprise Microsoft blog, Simon ...

Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective ...

A machine learning-powered intrusion detection system (IDS) using network behaviour anomaly detection (NBAD) can deal with similar attempts by tracing any atypical event, such as coordinated access ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Machine learning can be used to identify and profile devices on a network. That profile can determine the different features and behaviors of a given device. Automated anomaly detection ...

This article explains how to perform anomaly detection using LightGBM. LightGBM (lightweight gradient boosting machine) is a sophisticated ... default = 100 'num_leaves': 31, # default 'learning_rate' ...

Thankfully, we have an ace up our sleeves in the form of artificial intelligence (AI) and machine learning ... problem through deep learning that takes anomaly detection to an entirely new ...