Traditional IT security relies on detecting malware on a few well-understood platforms. Focused primarily on data protection, such solutions are unable to defend the diverse set of IoT devices that sport a variety of non-standard or customized operating systems.

To instill trust in diverse IoT assets, ZingBox invented a new fully non-disruptive approach that discerns each device’s personality, monitors all activities and enforces trusted behavior. The new device-personality approach was first conceptualized at Stanford University by ZingBox founders to address zero-day cyber and insider threats and eliminate the need for installing software agents on each device.

Enabling the Internet of Trusted Things, ZingBox provides hospitals, companies and manufacturing facilities with Internet of Things (IoT) security software that helps ensure service delivery. ZingBox’s new approach is based on Deep Learning and enforcement of trusted behavior.