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Mobile Security: 

Rise of the Machine (Learning)

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Much like a doctor can diagnose an illness by analyzing the symptoms your body is exhibiting, Zimperium’s machine learning engine, z9, can detect both known and unknown threats by analyzing the behavior of a mobile device. By analyzing slight deviations to the mobile device’s system parameters, z9 can accurately identify not only the specific type of malicious attack, but also provide forensics associated with the who, what, where, when and how of an attack occurrence.

Unlike cloud-based mobile security solutions that employ app sandboxing or tunnel traffic through the cloud, the z9 engine sits directly on mobile devices. This unique approach detects attacks even when your users are not connected to the network or when facing unknown malware, new threats or zero-day attacks.

Watch our on-demand webinar to learn how Zimperium’s machine learning engine:
- Analyzes system data to identify malicious behavior
- Provides attack forensics
- Differs from traditional deterministic detection
- Runs efficiently without introducing latency or violating user privacy

z9 Machine Learning Engine

John Michelsen, 
Zimperium's Chief Technology Officer