Radiflow has announced a research partnership with a leading research institute to study the application of advanced machine learning and artificial intelligence to cybersecurity for industrial automation networks.
The collaboration will focus on developing machine learning methods and artificial intelligence techniques for allowing the autonomous detection of non-compliant and anomalous behaviors on industrial automation networks. This applied research will involve evaluating graph-based and semantic approaches for event correlation and context awareness in order to develop these new machine learning and artificial intelligence capabilities.
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB is a prominent research institute for applied science in Germany. The Fraunhofer IOSB supports various markets and industries, which are reflected in the subdivision of the business units, including Security, Automation and Energy, Water and Environment.
“The question of how AI can enhance industrial cybersecurity to better respond to changing OT environments and new attack techniques is timely and essential,” said Dr.-Ing. Christian Haas, Group Manager at Fraunhofer IOSB. “Radiflow and its extensive experience working with industrial enterprises and critical infrastructure operators make the company the ideal research partner for applying AI to the industrial cybersecurity domain.”
Funding to develop Autonomous Industrial Cybersecurity Assistance System prototype granted by Innovation Authority in Israel and Federal Ministry of Education and Research in Germany.
“Determining if abnormal behavior has been caused by normal operational activities or by cyber-attackers is critical for understanding and securing an OT network,” explained Yehonatan Kfir, CTO of Radiflow. “AI holds the potential to improve the situational awareness of OT networks by efficiently distinguishing between abnormal behavior that was caused by normal operations and abnormal behavior that is connected to a cyberattack.”
“We are excited to partner with Fraunhofer IOSB on this innovative research project,” added Kfir. “We expect that the outcome of this research will expand the cyber-monitoring capacities for our customers and MSSP partners with new capabilities that require less analyst input to highlight the most critical events on dynamically changing OT networks.”