In a recent announcement, ZingBox has unveiled its IoT Guardian security solution, an IoT offering that uses Deep Learning algorithms to discern a 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.”
Traditional IT security relies on detecting malware on understood platforms. With the goal of instilling trust in IoT assets, ZingBox has invented this new 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.
“Medical device networks in a hospital are not rigorously monitored. We needed a solution that would generate a real-time inventory of medical devices across the hospital network and evaluate the risk exposure,” said, Jerry Marshall, Director Information Services and Telecommunications, United Regional Health Care System. “The ZingBox solution discovered over 95 percent of medical devices compared to current tools that could only detect about 5 percent. The intelligence and accuracy of elaborate device personalities allowed us to turn ZingBox into a tool that regulates medical device behaviors.”
ZingBox IoT Guardian is available now with a tiered SaaS pricing model based on the number of devices being secured. For more information, visit www.zingbox.com
Edited by
Alicia Young
