How does Zscaler utilize machine learning in its operations?

Zscaler leverages machine learning primarily to enhance threat detection capabilities. The platform employs advanced algorithms to analyze vast amounts of data and identify patterns that may indicate malicious activity. By continuously learning from new data inputs, Zscaler can adapt to emerging threats and effectively recognize anomalies that traditional detection methods might miss. This proactive approach enables real-time threat identification and response, significantly improving the security posture of organizations using Zscaler.

While there are other benefits associated with Zscaler's technology—such as reduced bandwidth consumption and improved internet performance—the core use of machine learning in its framework is centered on recognizing and mitigating threats. Thus, the focus on enhancing threat detection is integral to Zscaler's mission to provide a secure internet access model that safeguards users and their data.