Mobile Threat Detection from MobileIron

Discussing_Mobility_Workforce

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.

CATEGORY FILTERS

  • Cloud
  • Cloudknox
  • Cyber
  • Hacking
  • Mobile App
  • MobileIron
  • Ransomware
  • Remote Working
  • SentinelOne
  • UEM
  • Uncategorised
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