Certain LiveAssurance features use AI algorithms. These algorithms are in use currently for anomaly detection. The calculations will be performed on physical or virtual servers deployed and controlled by the customer or the partner. The algorithms perform the calculations and generate alerts locally without sending this data for processing to BlueCat.
Anomaly Detection
LiveAssurance v8.4 released anomaly detection. This algorithm is focused on the detection of potential performance anomalies on the devices monitored by LiveAssurance.
The model analyzes each performance metric collected from a network device based on Z-score, which measures how many standard deviations above or below the mean a data point is. When a new data point arrives, a Z-score is calculated. If the Z-score of that data point is greater than or less than 3 an alert is generated.