Applying Data Science to User and Entity Behavior Analytics

Watch this video to learn best practices for building UEBA using data science, key data science components for UEBA and applications and examples of statistical analysis and machine learning for UEBA. User and entity behavior analytics (UEBA) has become an indispensable tool for identifying security risks such as insider threats and stolen credentials.

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Exabeam is a global cybersecurity leader that delivers AI-driven security operations. The company was the first to put AI and machine learning in its products to deliver behavioral analytics on top of security information and event management (SIEM). Today, the Exabeam Security Operations Platform includes cloud-scale security log management and SIEM, powerful behavioral analytics, and automated threat detection, investigation and response (TDIR). Its cloud-native product portfolio helps organizations detect threats, defend against cyberattacks, and defeat adversaries. Exabeam learns normal behavior and automatically detects risky or suspicious activity so security teams can take action for faster, more complete response and repeatable security outcomes.

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