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In today’s digital era, cybersecurity threats are becoming increasingly sophisticated, making traditional security measures like firewalls and antivirus programs insufficient. To address this challenge, organizations are turning to User Entity Behavior Analytics (UEBA), a proactive security approach that focuses on monitoring and analyzing user and entity behaviors within a network to detect anomalies and potential threats. UEBA goes beyond conventional rule-based security systems by using advanced analytics, machine learning, and artificial intelligence to identify unusual patterns that could indicate insider threats, compromised accounts, or data breaches.

At its core, UEBA collects and examines data from various sources, including user activities, application usage, network traffic, and system logs. This holistic data collection allows security teams to establish a baseline of normal behavior for each user and entity. Once the baseline is established, UEBA continuously monitors for deviations from typical behavior, flagging activities that could signal malicious intent. For example, a user…

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