BYOD mobile attack prevention app uses machine learning
(Phys.org) —Mobile security company Zimperium is introducing attack-protection software for mobile devices and they have designed the product to go where other malware-sniffing apps might not. They aim to attract today's companies increasingly involved in BYOD environments and BYOD security policy needs. Zimperium's technology, supporting Android platforms, takes the interesting approach of machine learning to sniff out and prevent mobile device intrusion. Based in San Francisco with an R&D center in Tel Aviv, Zimperium is calling its product zIPS, with an emphasis on IPS, which stands for intrusion prevention system. The app made to outwit attackers watches how a person's smartphone acts under normal conditions and it can identify what may be out-of-the-ordinary behavior.