Intelligent Patient Zero Prevention
The world’s first AI-driven malware prevention engine with
inline quarantine to stop emerging threats.
Modern threats bypass traditional sandboxing
Today’s adversaries use automated tools to build highly targeted attacks at lightning speed, easily bypassing legacy malware defenses and out-of-band sandbox offerings.
Traditional passthrough approaches used in firewalls often result in patient-zero infections, with unknown malware slipping by as the sandbox detonates new samples out-of-band, sharing protections only after the initial compromise. Legacy sandboxes force organizations to backhaul mobile and remote user traffic to firewalls, increasing complexity and lacking the capacity for full SSL inspection.
Automated detection, prevention, and quarantine for unknown attacks
Driven by advanced AI/ML, Cloud Sandbox stops patient-zero attacks with instant verdicts for common file types and automates quarantine of high-risk unknown threats. As an integrated service in the cloud-native Zscaler platform, protections are continuously updated from over 135 billion requests per day in realtime.
Five Gaps of Network Sandbox Solutions
Build better defenses against patient-zero attacks by
learning the gaps of legacy network approaches.
Find and stop the stealthiest threats inline
Get inline detection, prevention, and quarantine for unknown attacks with a unique proxy-based architecture that has unlimited capacity for TLS/SSL inspection.
Prevent targeted attacks from reaching the user
Automatically trigger inline quarantine for unknown threats using advanced AI/ML.
Continuously detect and block threats as they emerge
Stop emerging threats with instant protections sourced from over 135 billion daily requests, and shared across the industry’s largest inline security cloud in real time.