Zimperium provides enterprise mobile threat defense. The Zimperium Mobile Threat Defense system delivers enterprise-class protection for Android and iOS devices against the next generation of advanced mobile threats. Developed for mobile devices, Zimperium uses patented, behavior-based analytics that continuously runs on the device to protect mobile devices against WiFi, cellular, and host-based threats wherever business takes them.

Veracode is an AppSec partner for creating secure software, reducing the risk of security breach, and increasing security and development teams’ productivity. As a result, companies using Veracode can move their business, and the world forward. With its combination of process automation, integrations, speed, and responsiveness, Veracode helps companies get accurate and reliable results to focus their efforts on fixing, not just finding, potential vulnerabilities.

Recorded Future delivers threat intelligence powered by patented machine learning to significantly lower risk, empowering organizations to reveal unknown threats before they impact business, and enable teams to respond to security alerts faster.

Workspot makes software solutions for the mobile workplace. The company has created a mobile workplace that helps end-users and IT departments separate work-related content and personal information stored on the device.

Capriza fundamentally disrupts the speed and economics of taking existing business applications mobile. Capriza's end-to-end enterprise mobility platform enables IT and lines of business to mobile-enable critical business workflows in a matter of days without the need to access source code, APIs, or integration. The solution is applicable for packaged applications such as SAP, Oracle, Salesforce as well as custom built solutions. Capriza extends the capability of these applications, in a simple, elegant way, onto any smartphone, tablet or desktop.

Deep Instinct applies a subset of artificial intelligence (AI), known as deep learning, to cybersecurity. The company has built a vast neural network that is trained on hundreds of millions of files. There are no human dependencies related to identifying and preventing cyber attacks. As a result, threats are detected >99% of the time, with a false positive rate <0.1%.