Radiflow and Fraunhofer Launch Joint Research to Apply AI in Industrial Cybersecurity

February 4, 2020 Alix Paultre

Radiflow, a provider of cybersecurity solutions for industrial automation networks, and the Fraunhofer Institute of Optronics, System Technologies, and Image Exploitation (IOSB) launched a joint research project for applying advanced machine learning and artificial intelligence to cybersecurity for 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. The outcome of this research will be the development of a prototype for an Autonomous Industrial Cybersecurity Assistance System (AICAS) that expands on existing approaches for detecting deviations and anomalies to a baseline of network behaviors on OT networks. 

This prototype will be designed to self learn the underlying behaviors an of industrial automation networks and the functions of the connected assets in order to dynamically detect new and unknown cyberthreats. The funding for this research project, which is scheduled to last two years, was granted by the Innovation Authority in Israel and the Federal Ministry of Education and Research in Germany.

www.radiflow.com

www.iosb.fraunhofer.de

Previous White Paper
Getting Executive Attention and Support for Predictive Maintenance
Getting Executive Attention and Support for Predictive Maintenance

Advice on ROI for predictive maintenance, setting-up projects for success, and connecting maintenance KPIs ...

Next Article
ICP Germany Unveils Mustang-M2BM-MX2 AI Accelerator Card
ICP Germany Unveils Mustang-M2BM-MX2 AI Accelerator Card

he 22x80mm cards have two Intel Movidius Myriad X MA2485 Vision Processing Units (VPUs) to provide AI funct...