How does behavioral analytics contribute to threat detection?

Behavioral analytics improves the accuracy of threat detection in cybersecurity systems by analyzing patterns of behavior within a network to identify anomalies and suspicious activities. Instead of relying solely on traditional rule-based detection methods, behavioral analytics considers the context and historical behavior of users and devices to detect sophisticated and advanced threats that may go undetected by other security measures. By establishing a baseline of normal activities, behavioral analytics can effectively flag deviations indicating potential security threats, such as insider threats, advanced persistent threats, or zero-day attacks. This proactive approach helps security teams respond quickly to emerging threats and reduce false positives, ultimately enhancing the overall effectiveness of cybersecurity defenses.