Behavioral Anomaly Detection techniques help your IT and network security professionals detect unusual behavior patterns within your network traffic.
For the second straight year, zvelo’s IoT Security Platform ranked among the finalists in ECD’s Innovation Awards for next-generation IoT frameworks aimed at securing business and residential networks from nefarious Internet of Things devices.
Particularly with the proliferation of IoT devices—network security has grown increasingly porous—leaving gaping holes. zvelo is working with router and gateway manufacturers to provide an IoT Security Platform that dynamically and actively profiles and monitors ALL network-connected devices—giving you complete network visibility to improve security for customer networks.
Last year, zvelo announced our IoT Security Platform—providing router and gateway manufacturers with a fully managed solution to improve security for IoT, BYOD, and other devices across the network. Powered by the same zveloAI cloud network that leads the industry in web content categorization and malicious detection engines—the zvelo IoT Security Platform leverages machine learning to perform agentless and hardware agnostic device identification and behavioral anomaly detection.
In this week’s Embedded Insiders podcast, Rich Nass and Brandon Lewis welcome Jeff Finn, CEO of data categorization and security firm zvelo.
zvelo is beta testing an IoT Security solution, a software-based sensor that discovers network-attached devices, profiles them and tags compromised units. Think of it as an elaborate, sophisticated hall monitor that knows how you behave, spots and reports abnormalities, takes your thumbprint and then scores you for trustworthiness.