MobileIron se ha asociado con un proveedor de detección de amenazas basado en el aprendizaje de máquinas para transferir su tecnología a su cliente EMM, una tendencia creciente en el espacio móvil.
Part of a growing trend, MobileIron announced today that it is adding machine learning-based threat-detection software to its enterprise mobility management (EMM) client, which it said will help address an increase in mobile attacks.
The Mountain View, Calif.-based company said it has partnered with Zimperium, a maker of machine learning-based behavioral analysis and threat detection software that monitors mobile devices for nefarious activity and apps.
Other EMM vendors are looking at the machine-learning space and forming partnerships, such as BlackBerry and Zimperium, as have PC players including Dell with Cylance. But it’s not entirely clear how effective mobile threat detection (MTD) via machine learning algorithms is, and there are still a relatively small number of companies that have deployed the technology, according to Jack Gold, principal analyst with research firm J.Gold Associates.
Nicholas McQuire, vice president of enterprise research at CCS Insight, said there’s currently a lot of marketing hype around what machine learning and artificial intelligence can do, but the technology has tremendous promise for reducing malware.
Over the past two years, mobile attacks have doubled, which has led to a corresponding rise in IT departments’ interest in mobile security — and MTD in particular, McQuire said. This year, more than 35% of IT decision makers listed device security, malware and threat protection as the biggest priorities for investment in the enterprise mobility and security space, according to CCS’s 2017 Workplace Technology Survey. The survey was performed in August and the full results of it have not yet been released.
“In our view, the integration of EMM and MTD is crucial in addressing customer needs today and is also an important area of innovation for leading technology suppliers in the future,” McQuire said. “It’s becoming a core part of [the EMM] industry. There’s absolutely no question about that.”
McQuire added, however, that it’s currently impossible to say how effective machine-learning is at detecting potential mobile threats, as it’s still a nascent technology.
Fuente: https://www.computerworld.com
