How does East-West Traffic Control detect traffic anomalies?

East-West Traffic Control detects traffic anomalies through a combination of network monitoring, behavioral analysis, and machine learning techniques. It continuously observes communication patterns between internal systems (east-west traffic) to identify deviations from normal behavior.

Key detection methods include:

1. Baseline Comparison: Establishes a normal traffic pattern baseline (e.g., typical data volume, frequency, and endpoints) and flags deviations.
2. Anomaly Scoring: Assigns risk scores to traffic based on factors like unusual ports, protocols, or sudden spikes in data transfer.
3. Machine Learning Models: Trains models on historical traffic data to predict and detect outliers, such as zero-day attacks or insider threats.

Example: If a server suddenly starts sending large volumes of data to an unfamiliar internal IP address outside its usual communication scope, East-West Traffic Control will flag this as suspicious.

For cloud environments, Tencent Cloud's Network Security Solution provides advanced east-west traffic monitoring with features like micro-segmentation and real-time anomaly detection to secure internal workloads.