Fore- is researching and developing autonomous control penetration systems based on deep reinforcement learning to respond to increasingly sophisticated and complex cyber-attacks. By observing and evaluating vulnerability data reported from around the world and continuously and autonomously providing feedback, we provide cyber defense solutions for a wide range of attacks, from increasingly sophisticated targeted attacks, malware, and DDoS attacks to list-based attacks and eKYC attacks.