by Angela Guess

According to a new press release, “ZingBox, leading a new generation of cybersecurity solutions focused on service protection, today unveiled IoT Guardian: the industry’s first offering that uses Deep Learning algorithms to discern each device’s unique personality and enforce acceptable behavior. IoT Guardian’s self-learning approach continually builds on previous knowledge to discover, detect and defend critical IoT services and data while avoiding false positives with 99.9 percent accuracy. ‘Enterprises, healthcare organizations and manufacturing floors are embracing the digital age with a wide variety of connected devices to improve productivity, decision making and service delivery. But the resulting Internet of Things is highly vulnerable and lacks a crucial component: Trust,’ said Xu Zou, co-founder and CEO, ZingBox. ‘ZingBox is first to provide a solution based on Deep Learning that recognizes each device’s personality to enable what customers demand: the Internet of Trusted Things’.”

The release goes on, “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.”

Read more at Business Wire.

Photo credit: ZingBox