Dojo by BullGuard and BGN Technologies announced a partnership to develop technologies for automated IoT threat detection utilizing artificial intelligence (AI) and machine learning algorithms.
Researchers from Cyber@BGU and Dojo by BullGuard will join forces to develop research, which will be part of the Dojo Intelligent IoT Security Platform for Communication Service Providers (CSPs).
“We’re proud to announce the launch of the new Cyber@BGU-Dojo by BullGuard research lab. Together, our mutual teams will join forces to expand the frontiers of IoT cybersecurity and move the sector forward through our findings,” said Professor Yuval Elovici, Software and Information Systems Engineering, and Director of Ben-Gurion University Cyber Research Lab.
Ben-Gurion University is considered a leader in the field of cybersecurity research, while Dojo by BullGuard offers cloud based IoT cybersecurity platform designed from the ground up for the service provider market.
The Dojo Intelligent IoT Security Platform for CSPs (DIP) was designed from its early days as an IoT security solution at CSP scale, providing an end-to-end cyber security and privacy solution for all IoT connected devices.
The platform is integrated into any CSP’s network. Using DIP, CSPs can leverage their existing network connectivity services and offer enterprise-grade cybersecurity and privacy services to their customers.
The IoT market is exploding, with consumer spending on smart home systems and services predicted to reach $158 billion by 2020.
“An estimated 80 percent of IoT devices have built-in vulnerabilities, creating a tremendously vulnerable IoT landscape,” said Yossi Atias, general manager, IoT Security at BullGuard.
“Many IoT devices are not properly designed cybersecurity-wise. As a result, they introduce multiple cybersecurity risks for both physical and digital assets, posing significant risk to data integrity and privacy. The joint research partnership between Dojo by BullGuard and Cyber@BGU will foster cybersecurity innovation. The technology will be used to advance the Security of Things, with a high level focus on threat detection and privacy issues created by IoT devices.”