Posts in "Machine Learning"

To Be…Protected, or not To Be…Protected. That is the Question.

These last few days could have CIOs and CISOs very nervous. Two news stories about mobile devices pose real threats for enterprises around the world: From Forbes, “millions of shiny new Android smartphones are being purchased with dangerous malware factory-installed, according to Google’s own security research team.” Also from Forbes, “security firm Check Point has … Read More

Latest Android Malware is Not a Surprise; Zimperium Customers Protected

According to news reports, a new strain of Android malware has infected 25 million devices and modified legitimate apps with a malicious ads module.   It’s believed the malware originated from a Chinese internet company that helps Chinese Android developers publish and promote their apps in foreign markets. The malware was disguised as Google-related updaters and … Read More

Zimperium Webinar Series: Seven Deadly (Mobile Security) Sins… According to CISOs

Zimperium, a global leader in enterprise mobile threat defense (MTD) and a leading provider of real-time, on-device protection against known and unknown mobile threats, hosted a series of webinars focusing on seven of the problem areas, or deadly sins, chief information security officers (CISOs) must address. Most organizations now realize that mobile devices are an unprotected endpoint … Read More

Machine Learning vs Signatures, Round N: Once Again, Zimperium Detects Malware No One Else Does

Analysis & Post By: Alex Calleja (@alximw) Matteo Favaro (@fvrmatteo)     Advertising and click fraud campaigns are one of the most common mobile malware-based monetization techniques. Although they are considered a lawful income source in most app markets, they can put the user’s privacy at risk and even cause economic damage. Once again, Zimperium’s machine-learning based solution, … Read More