What is “behavioral-based detection”?

Behavioral-based detection refers to a method of identifying potential threats by monitoring and analyzing patterns of activity within a system or network. This approach focuses on recognizing unusual or suspicious behavior that deviates from established norms. By looking for anomalies, such as unexpected file movements, abnormal network traffic, or unusual login attempts, behavioral-based detection can identify malicious actions that might not be recognized through traditional methods, which often rely on known signatures of malware or specific patterns of activity.

This technique is particularly valuable in cybersecurity, as it can detect never-before-seen attacks or zero-day exploits that do not match any known signatures. It leverages machine learning and artificial intelligence to continuously learn and adapt to new behaviors, improving the accuracy and efficacy of threat detection over time.