Machine Learning in XDR: A Cybersecurity Breakthrough
ID: 4e19710e-71df-5308-9fb6-e27603dcf64d
STIX ID: report--4e19710e-71df-5308-9fb6-e27603dcf64d
Feed Name: Fidelis Security
This document describes behavior-based threat detection in XDR, explaining how machine learning analyzes user behavior, system logs, and network traffic to identify anomalies indicative of credential compromise, data exfiltration, and insider threats, highlighting solutions like Fidelis Elevate for proactive detection across endpoints.
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