How ZingBox uses Artificial Intelligence and Machine Learning to secure IoT devices

In this interview, Tamara McCleary talks to Dr. May Wang, Co-Founder & CTO of ZingBox, about how AI & machine learning can be used to secure the IoT, how their technology is transforming the healthcare industry and what it will enable in the near future.

In this interview, Tamara McCleary, CEO Thulium, talks to Dr. May Wang, Co-Founder & CTO of ZingBox, about how AI & machine learning can be used to secure the IoT, how their technology is transforming the healthcare industry and what it will enable in the near future.

ZingBox is an Edge/IoT security company that provides IoT device visibility, AI/ML driven behavioral analytics, and device profiling to secure IoT devices and help prevent malicious attacks. Specializing in IoT solutions for the healthcare industry, ZingBox helps hospitals realize the full potential of their IoT medical devices, delivering a new standard for uninterrupted quality care through device inventory, management, security, and optimization for the entire IoT environment. Zingbox was also recently named a ‘Cool Vendor in IoT Security’ by Gartner and recipient of the Stevie Award for Most Innovative Company.