Mobile threat detection through machine learning

While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices. 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. This paper examines some current MTD approaches to help organizations 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.