Mobile Threat Detection from MobileIron
This paper examines some current MTD approaches to help organisations understand where those solutions may fall short — and how machine learning-based MTD can expand upon those capabilities by providing immediate, on-device protection against mobile attacks.
Discover the ideal technology for detecting unknown, zero-day mobile threats To protect devices and data from these advanced attacks, the use of machine learning in MTD has quickly evolved as a highly effective security approach. Machine learning models can be trained to instantly identify and protect against the potentially harmful activity, including unknown and zero-day threats that other solutions can’t detect in time. Just as important, when machine learning-based MTD is deployed through a unified endpoint management (UEM) platform, it can augment the foundational security provided by UEM to support a layered enterprise mobile security strategy.
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MobileIron has identified reasons why many Microsoft customers choose MobileIron to extend their security through mobile-centric zero-trust approach.