Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...

The Register Explainer Networks have grown too sprawling, too layered, and too fast-moving for human operators to manage the old way. Manually watching dashboards, chasing alerts, and pushing fixes ...

The surge in sophisticated cyberattacks, insider threats, and digital fraud schemes is compelling organizations to deploy anomaly detection solutions capable of identifying subtle deviations across ...

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...

The goal of neural networking in cybersecurity is to be able to detect unusual behavior and patterns, especially within OT assets and networks. Detecting unusual behaviors often leads to the discovery ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new ...

- Anomaly detection, also referred to as outlier detection, in data mining, refers to the identification of observations, events or items that are rare and which create suspicions by way of being ...