May 14, 2015
News Release

Lookout Named a Gartner ‘Cool Vendor’ in Security Infrastructure Protection

Selected for being innovative, impactful and intriguing

SAN FRANCISCO, May 14, 2015 — Lookout, the global leader in mobile security, was recognized as a “Cool Vendor” in Gartner’s Cool Vendors in Security Infrastructure Protection, 2015, published April 27 by leading analyst firm, Gartner, Inc. One of five vendors in the report, Lookout provides a predictive approach to mobile security, which identifies hidden connections in code to detect threats from known attackers and uses machine intelligence to uncover new, never-before-seen threats. This approach allows Lookout to make accurate security predictions and stop attacks before they do harm.

“The sheer number of apps on an average user’s mobile device combined with the frequency by which those apps are updated creates a security issue that cannot be controlled by PC-era security solutions,” said Aaron Cockerill, VP of Products at Lookout. “The mobile ecosystem needs a new approach: predictive security. For Lookout, that means comparing device, app and OS characteristics to the world’s mobile code and accurately predicting what might be malicious through complex risk correlations. We see this recognition from Gartner as validation of the value of predictive security, particularly when it comes to securing corporate mobility initiatives.”

Lookout’s technology is powered by a collaborative global sensor network of more than 70 million users and partnerships with the largest mobile network operators in the world, including three of the four major operators in the U.S. More than 20,000 mobile apps are added to its network daily, giving Lookout access to the world’s most robust dataset of mobile code. This dataset fuels a cloud-based platform that tracks the relationships between code to identify threats from known bad actors and uses machine intelligence to predict novel threats. This scale and technology makes it possible for Lookout to identify hidden connections that would typically evade traditional detection systems.

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