User Behavior Analytics (UBA) is a security technology that monitors the normal behavior of users on an organization’s network to detect abnormal activities and potential security threats. Using machine learning and analytics techniques, UBA learns users’ habitual behaviors and raises alarms when there are deviations from these behaviors. In this way, security breaches such as insider threats, phishing attacks, and data theft can be detected at an early stage. Data such as user actions, login times, file accesses, and network activities are continuously analyzed. When abnormal behaviors are detected, alerts are sent to security teams and in-depth reports are provided on potential threats. UBA helps organizations develop stronger defenses against insider threats and enables faster responses to security incidents.
Advantages of User Behavior Analytics (UBA) Solution
Detecting Abnormal User Behavior
By learning users' normal behavior, it quickly detects deviations from these patterns (e.g. out-of-hour accesses or unusual data downloads).
Preventing Internal Threats
It provides protection against insider threats by identifying malicious or accidental transactions performed by authorized users.
Sensitive Data Security
It helps prevent data breaches by detecting access and usage anomalies to sensitive data.
Advanced Threat Detection
It uncovers complex attack techniques (e.g. phishing or account takeover) through behavioral analysis that traditional security solutions cannot detect.
Risk Based Prioritization
It categorizes users based on their behavioral risk levels, allowing security teams to focus on the most critical threats.
Compliance and Ease of Auditing
It provides the transparency required for legal regulations and audit processes by recording user activities in detail.
