Kaspersky Internet Security for Android enables machine learning technology to protect against advanced threats

Kaspersky Internet Security for Android has been strengthened with a new feature for combating the evolving malware landscape – Cloud ML for Android. The new feature, based on machine learning technology, ensures immediate proactive detection of advanced and previously unknown malware, to minimize the risks of mobile devices being exposed to cyberattacks. To this end, 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 with ever-changing threats. As a step in the fight against constantly evolving and unknown threats, Kaspersky Internet Security for Android 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 analyzes 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 recognize it as malicious based on the typical parameters that correspond with already known threats.

The new technology benefits not only from machine learning algorithms but also the Kaspersky Security Network – Kaspersky Lab’s complex distributed cloud-based infrastructure that processes anonymized cyberthreats related to metadata streams from millions of voluntary participants around the world.