Security News > 2020 > February > Radiflow and Fraunhofer develop ML and AI methods for industrial cybersecurity

Radiflow, a leading provider of cybersecurity solutions for industrial automation networks, and the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, a prominent research institute for applied science in Germany, announced the launch of a joint research project for applying advanced machine learning and artificial intelligence to cybersecurity for industrial automation networks.

For this research project, Radiflow and Fraunhofer IOSB will collaborate on developing machine learning methods and artificial intelligence techniques for allowing the autonomous detection of non-compliant and anomalous behaviors on industrial automation networks.

The outcome of this research will be the development of a prototype for an Autonomous Industrial Cybersecurity Assistance System that expands on existing approaches for detecting deviations and anomalies to a baseline of network behaviors on OT networks.

"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."

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