User Behavior Analysis

User Behavior Analysis (UBA) is an artificial intelligence (AI) technique used to analyze patterns in user behavior to identify potential threats or anomalies. UBA can be used to monitor users’ activities and identify abnormal behavior that may indicate a security breach. UBA is particularly useful for detecting insider threats, where employees may have legitimate access to company systems but abuse their privileges for malicious purposes. By analyzing user behavior patterns, UBA can identify deviations from normal behavior and alert security teams to potential threats.

UBA is an advanced security tool that uses machine learning algorithms to detect unusual behavior and generate alerts. By analyzing user behavior patterns over time, UBA can develop a baseline of normal behavior and identify when deviations occur. UBA can also analyze data from multiple sources, such as network logs, user activity logs, and security event logs, to gain a more comprehensive view of user behavior. This allows security teams to proactively detect and respond to potential threats, reducing the risk of data breaches and other security incidents.