User and Entity Behavior Analytics (UEBA) is essential for improving the efficacy of security alerts by prioritizing and refining them to avoid overwhelming security teams. Implementing UEBA involves creating rules that analyze historical login patterns and geographic login sources to enhance alert accuracy and reduce false positives. The article explores practical applications of UEBA in detecting suspicious account behavior and offers examples of its implementation across various scenarios.