Anomaly detection is the search for entities or events that do not conform to an expected pattern.

    Wynyard’s software can be used to identify anomalous instances and can highlight activities that require further investigation. Wynyard’s anomaly detection model for dynamic networks can quickly highlight those entities, relationships and time periods that are inconsistent with their usual behaviour. Visual analysis and investigation allows users to navigate through graphical data representations of anomalous instances to focus on nodes and edges with higher anomalous scores.