How does threat detection and response perform behavioral analysis?

Threat detection and response performs behavioral analysis by continuously monitoring system activities, user behaviors, and network traffic to identify patterns that deviate from normal baselines. This approach focuses on detecting anomalies rather than relying solely on known signatures or rules.

Key techniques include:

1. User and Entity Behavior Analytics (UEBA): Tracks user actions (e.g., login times, file access) to detect insider threats or compromised accounts. For example, if an employee suddenly accesses sensitive databases at unusual hours, the system flags it as suspicious.
2. Machine Learning (ML) Models: Train models on historical data to recognize normal behavior and flag deviations. For instance, a spike in data exfiltration attempts from a server may indicate a breach.
3. Network Traffic Analysis: Monitors packet flows to detect unusual communication patterns, such as C2 (Command and Control) server connections.

Example: A company uses behavioral analysis to detect a ransomware attack. The system notices a workstation suddenly encrypting thousands of files at high speed, which differs from the user’s typical behavior, triggering an alert.

For such scenarios, Tencent Cloud offers Host Security (CWP) and Cloud Workload Protection (CWP), which leverage behavioral analysis to detect and mitigate threats in real time. Additionally, Tencent Cloud Security provides UEBA capabilities to monitor user activities across cloud and on-premises environments.