Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Internet of Things (IoT) devices have become extremely popular in homes and workplaces. However, their abundant and rising usage also makes these products tempting targets for cybercriminals. Anomaly ...

08/02/2024 If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...

Noction, a leading provider of intelligent routing and traffic analysis solutions, today announced the release of Noction Intelligent Routing Platform (IRP) v4.3, delivering major new capabilities in ...