Answer
EDR security solutions log behaviors on endpoints around the clock. They continuously analyze this data to reveal suspicious activity that could indicate threats such as ransomware. EDRs typically use AI and machine learning to apply behavioral analytics based on global threat intelligence to help your team fend off advanced tactics being used against your organization.
One way that a product can meet its customers' needs is by using a combination of so-called brittle and robust detections. Brittle detections are those designed to detect a specific artifact, such as a simple string or hash-based signature commonly associated with known malware. Robust detections aim to detect behaviors and could be backed by machine-learning models trained for the environment. Both detection types have a place in modern scanning engines, as they help balance false positives and false negatives. Once collected, the telemetry data undergoes sophisticated analysis using behavioral analytics, machine learning, and rule-based detection engines. These techniques help identify anomalies and patterns indicative of malicious activity.