Banking fraud, insider threat, & targeted attacks can all be detected using user and entity behavior analytics. This method is used to analyze human behavior patterns and then find deviations using statistical analysis and algorithms. When end users collaborate, malware might become dormant and go undiscovered. Rather than trying to figure out where the outsider got in, user and entity behavior analytics uses algorithms to detect internal threats, allowing for faster detection. In big data platforms…
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Infostealers Dominate as Lumma Stealer Detections Soar by Almost 400%
Cybersecurity firm ESET reported a 369% increase in detections of the Lumma Stealer infostealer malware in the second half of 2024. The malware targets two-factor
