機械学習
Intelligent packet capture uses machine learning to filter and reduce the amount of network traffic captured. Traditional filtered packet capture relies on rules and policies which are manually configured to capture all potentially malicious traffic. Intelligent packet capture uses machine learning models, including features from Cyber threat intelligence feeds, to scientifically target and capture the most threatening traffic. Machine learning techniques for network intrusion detection, traffic classification, and anomaly detection are used to identify potentially malicious traffic for collection.