Our ambition is to start from the current applications and to boldly go beyond to support Cyber Security with AI techniques for prevention, identification, protection, detection, response, mitigation, and control.

Industry partners

• Firmalyzer focusing on device firmware security and IoT-related challenges
• AXS Guard inspecting network traffic and integrating AI in edge devices
• SpotIT taking the network data inspection from a Security Operations Center perspective
• Co-Dex.eu focusing on compliance management based on governance instruments and documented processes, related to the underlying technologies

Research partners

• VUB AI-lab
• COSIC research group (Computer Security and Industrial Cryptography), KU Leuven
• IMEC-DISTRINET research group, KU Leuven
• LSEC, the European ICT Security Cluster

With the CSAI project, both research and industry are aiming to use available AI technologies and advance them for Cyber Security. We are investigating the potential of the newest AI technologies, combining the best of both symbolic and subsymbolic techniques, by using a store of domain-specific knowledge, mechanisms to acquire new knowledge, and mechanisms to put that knowledge to use.

We will also look into the following main topics:

• The application of novel behavioral multi-agent-based models of the Cyber Security infrastructure
• Newer techniques based on neural networks, like generative adversarial networks, extremely relevant in the arms race context of Cyber Security
• How we can adapt deep learning techniques, now mainly tailored for vision, to identify cyber-attacks