Category: Anomaly Detection

Model cascading in cybersecurity involves using a sequence of machine learning models to detect anomalous behavior in network traffic or user activity. The process starts with an initial general model that flags uncertain or potentially anomalous instances. These flagged instances are then passed to more specialized models that focus on…