Abstract: Embodiments for generating user customized alert notifications for application operations and activities based on monitored performance metrics. Key performance indicators for the application and user behavior are defined, and a monitor process collects behavior statistics of the application for each user with respect to data assets for each of the key performance indicators. Anomaly detection policies are provided to define anomalous behavior of the users with respect to data assets of the computer network. An anomaly detection process detects anomalous user behavior and an alert notification is sent to administrative or security personnel upon each detected instance of abnormal user behavior. The alert notification rules are defined by the user based on operation severity, asset type, operation, and defined metrics to tailor and minimize the number of alerts sent to the user.

Abstract: Embodiments for generating user customized alert notifications for application operations and activities based on monitored performance metrics. Key performance indicators for the application and user behavior are defined, and a monitor process collects behavior statistics of the application for each user with respect to data assets for each of the key performance indicators. Anomaly detection policies are provided to define anomalous behavior of the users with respect to data assets of the computer network. An anomaly detection process detects anomalous user behavior and an alert notification is sent to administrative or security personnel upon each detected instance of abnormal user behavior. The alert notification rules are defined by the user based on operation severity, asset type, operation, and defined metrics to tailor and minimize the number of alerts sent to the user.