Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...

In order to truly unlock the potential of boosting cybersecurity with anomaly detection, it’s important to put AI and ML algorithms at the heart of the system.

To improve the original anomaly detector, they add the human feedback mechanism for the detection result during the streaming anomaly detection process. Firstly, ...