Development of an automatic penetration testing method and automatic restoration method for industrial control systems
Currently, many companies are implementing some kind of security measures to protect their systems from cyber attacks, but few companies are able to confirm whether those measures are working properly. Therefore, we are conducting research and development of a method that combines multiple AIs to fully automatically visualize a company's security risks through simulated cyber attacks. The target systems are not limited to information systems, but also include industrial control systems such as those used in factories, making it possible to verify a wide range of fields. In addition, we aim to realize a rapid and preventive security countermeasure method by implementing a function that automatically derives response policies for detected risks and implements repairs.
