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2016 North American Machine Learning-Based Mobile Threat Detection Technology Innovation Award

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Today’s workforce increasingly accesses sensitive data from outside secure corporate networks using their own devices. Bring-your-own-device (BYOD) strategies and policies offer great benefits but are difficult to manage since users don’t want their private data monitored.

Conventional mobile device security solutions usually focus on protecting enterprise networks from threats by using predefined parameters through signature-based technology. However, this is not effective against new unknown threats or for identifying frequent changes in device parameters.

Download Frost & Sullivan’s independent analysis on mobile threat detection technology to learn about:

  • Comparison of multiple solutions
  • Implementation strategies
  • Current and future business value

About Frost & Sullivan
Frost & Sullivan, the Growth Partnership Company, enables clients to accelerate growth and achieve best in class positions in growth, innovation and leadership. The company's Growth Partnership Service provides the CEO and the CEO's Growth Team with disciplined research and best practice models to drive the generation, evaluation and implementation of powerful growth strategies. Frost & Sullivan leverages over 50 years of experience in partnering with Global 1000 companies, emerging businesses and the investment community from 40 offices on six continents.

“Frost & Sullivan’s independent analysis clearly shows that by virtue of its ability to integrate a best-in-class behavioral analytics engine based on machine learning algorithms into a mobile threat detection management solution, the z9 technology has obtained a huge advantage over its competitors.”