Which technology is extensively used for User and Entity Behavior Analytics (UEBA)?

Prepare for the WGU ITAS6291 D488 Cybersecurity Architecture and Engineering exam. Use flashcards and multiple-choice questions, each with explanations and guidance. Master your knowledge and excel in your exam!

User and Entity Behavior Analytics (UEBA) relies heavily on Artificial Intelligence (AI) because it requires the ability to analyze vast amounts of data from user and entity interactions within a network. AI technologies are utilized in UEBA to establish baseline behaviors through machine learning algorithms and perform real-time anomaly detection. By continuously monitoring user and entity activities, AI can identify deviations from typical patterns that may indicate potential security threats, such as insider threats or account compromises. The agility and intelligence of AI systems enable UEBA solutions to adapt to evolving behaviors and threats, significantly enhancing the security posture of an organization.

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