When handling high volumes of evasive threats or operating under challenging network conditions, relying solely on cloud-based threat analysis can introduce unwanted latency. Local Deep Learning for Advanced Threat Prevention solves this challenge by providing fast, local deep learning-based analysis for zero-day threats, complementing the cloud-based Inline Cloud Analysis component of Advanced Threat Prevention.

With an active Advanced Threat Prevention license, the system quickly analyzes known malicious traffic matching published signatures and applies the configured action, such as dropping the session. For suspicious content, the Deep Learning Analysis detection module reroutes the traffic locally for immediate analysis. Because this module is based on the proven detection engines operating in the Advanced Threat Prevention cloud, you gain the same zero-day and advanced threat detection capabilities, but with the added benefit of processing a much higher traffic volume locally. This allows you to inspect more traffic and receive rapid verdicts without the lag associated with cloud queries. Content updates deliver the latest Local Deep Learning models, ensuring your detection remains current.