Self Learning Attack surface Explorer

This project will develop a self-learning agent based on Deep Reinforcement Learning (DRL) to explore the attack surface of a virtual machine (VM). The project tests the possibility to discover new zero-day vulnerabilities in IT systems, with the aid of deep learning artificial intelligence (AI).

The Cyber Defense research unit (CyLab) of the Royal Military Academy has been active in the domain of cyber security for more than 10 years. A vast experience has been acquired through different studies and projects.

The project SLATE - DAP/23-05 is financed under the DFR call.