This AI voiced podcast episode explains User and Entity Behavior Analytics (UEBA), a cybersecurity solution using machine learning to detect anomalies in user and device activity. UEBA collects data, models normal behavior, and flags deviations as potential threats, such as unusual login locations or data transfers. This system offers benefits, including improved threat detection, reduced IT workload, and lowered costs by preventing breaches. Key components include analytics, integration with existing tools, and alert/response mechanisms. Finally, the podcast highlights the importance of proper implementation and the future potential of AI-driven improvements in UEBA.Intro: (0:00)What is UEBA?: (0:45)How UEBA works: (2:25)UEBA Behavioral Modelling: (3:00)Integration into other security tools: (4:00)UEBA Cost Savings: (5:11)Challenges and Considerations: (5:45)Privacy Concerns: (6:19)Future of UEBA: (6:40)

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