Kaspersky has unveiled a new security feature for Android devices. The feature, based on machine learning technology, ensures immediate proactive detection of advanced malware to minimise the risks of mobile devices being exposed to cyber attacks. Essentially, malicious applications that may have been downloaded on a mobile device are detected before they launch.
Over the few last years, mobile threats have evolved at such a rapid pace that existing protective systems can’t always keep up. Cybercriminals are becoming more creative and constantly transforming malware to make it more difficult to identify.
As a step in the fight against constantly evolving and unknown threats, Kaspersky Internet Security has been updated with a new technology called Cloud ML for Android. The technology enables the product to provide an even faster reaction to unknown threats and keeps the number of false positives at the lowest rates.
Whenever a user downloads an application on their mobile device, the technology uses machine learning algorithms from the cloud that have been trained on millions of malware samples. The applied approach analyses thousands of different application parameters – including requested permissions or entry points – in less than a second, and instantly provides an accurate verdict.
Even if the application turns out to be a specific or modified type of malware that has not been previously seen, Cloud ML for Android will recognise it as malicious based on the typical parameters that correspond with already known threats.
Timur Biyachuev, Vice President of Threat Research at Kaspersky explains, “according to recent Kaspersky research, the number of mobile attacks doubled in 2018 as cybercriminals invent new ways to create and distribute malware [ — and] anti-malware technologies need to keep up.”
Edited by Jenna Cook
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