The majority of Information Security teams' cybersecurity analysts are overwhelmed today analyzing security logs, thwarting breach attempts, investigating potential fraud incidents and more. The following graphic compares the percentage of organizations by industry who are relying on AI to improve their cybersecurity. The bottom line is all organizations have an urgent need to improve endpoint security and resilience, protect privileged access credentials, reduce fraudulent transactions, and secure every mobile device applying Zero Trust principles. Many are relying on AI and machine learning to determine if login and resource requests are legitimate or not based on past behavioral and system use patterns. Several of the top ten companies to watch take into account a diverse series of indicators to determine if a login attempt, transaction, or system resource request is legitimate or not.

The majority of Information Security teams' cybersecurity analysts are overwhelmed today analyzing security logs, thwarting breach attempts, investigating potential fraud incidents and more. The following graphic compares the percentage of organizations by industry who are relying on AI to improve their cybersecurity. The bottom line is all organizations have an urgent need to improve endpoint security and resilience, protect privileged access credentials, reduce fraudulent transactions, and secure every mobile device applying Zero Trust principles. Many are relying on AI and machine learning to determine if login and resource requests are legitimate or not based on past behavioral and system use patterns. Several of the top ten companies to watch take into account a diverse series of indicators to determine if a login attempt, transaction, or system resource request is legitimate or not.

The majority of Information Security teams' cybersecurity analysts are overwhelmed today analyzing security logs, thwarting breach attempts, investigating potential fraud incidents and more. The following graphic compares the percentage of organizations by industry who are relying on AI to improve their cybersecurity. The bottom line is all organizations have an urgent need to improve endpoint security and resilience, protect privileged access credentials, reduce fraudulent transactions, and secure every mobile device applying Zero Trust principles. Many are relying on AI and machine learning to determine if login and resource requests are legitimate or not based on past behavioral and system use patterns. Several of the top ten companies to watch take into account a diverse series of indicators to determine if a login attempt, transaction, or system resource request is legitimate or not.

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. MobileIron said it will integrate Zimperium's z9 Engine software with its security and compliance client. The software will reside on users' iOS or Android smartphones or tablets, and it will also become a part of IT administrators' EMM control consoles. That upgrade to MobileIron's EMM client will "automate the process of detecting and responding to mobile threats," MobileIron stated.

The writing is on the wall, but not enough enterprises are reading. That's the case with mobile threat defense, as malware continues to infiltrate the enterprise while businesses are desperately trying to leave behind desktop computers and legacy systems. For two mobile security solution providers, this has become an obvious time to join forces and aid the masses. MobileIron and Zimperium have announced a collaboration to help enterprises adopt mobile malware solutions. MobileIron will integrate Zimperium's machine learning-based threat detection with MobileIron's security and compliance engine and sell the combined solution, which will address challenges like detecting device, network, and application threats and immediately take automated actions to protect enterprise data.