Behavioral analysis technology in endpoint security protection works by monitoring and analyzing the activities and behaviors of applications, processes, and users on endpoint devices (such as computers, laptops, and mobile devices) to detect suspicious or malicious actions that deviate from normal patterns. Unlike traditional signature-based detection methods that rely on known malware definitions, behavioral analysis focuses on identifying unknown or zero-day threats based on anomalous behavior.
A user’s laptop normally runs Microsoft Word without accessing the system registry. If a process suddenly spawns from Word and starts modifying critical registry keys or encrypting files at high speed, behavioral analysis would detect this unusual activity, even if the malware is previously unknown. The system could then quarantine the process or notify the IT team.
In enterprise environments, solutions like Tencent Cloud’s Endpoint Security Service leverage behavioral analysis alongside machine learning to protect endpoints from advanced threats, ensuring real-time threat detection and response while minimizing false positives. These services often integrate with broader security ecosystems for centralized visibility and automated remediation.