Exam CAS-004 topic 1 question 512 discussion

UEBA focuses on analyzing the behaviors of users and entities within the network to identify anomalies that may indicate security threats. Unlike signature-based detection, which relies on known patterns of malicious activity, UEBA uses machine learning and advanced analytics to detect deviations from normal behavior. This approach can identify new and unknown threats that do not match existing signatures, thus addressing the limitation of missing IoCs that signature-based systems might overlook

o UEBA uses machine learning and behavioral analysis to detect anomalous activity, which can catch previously unknown threats not covered by traditional signature-based rules, making it a more effective solution for identifying advanced attacks that might bypass signature-based systems.

For reason I put below

user and entity behaviors to detect anomalies and potential threats that signature-based systems might miss.