Abstract---Defenders are overwhelmed by the number and scale of attacks against their networks.This problem will only be exacerbated as attackers leverage artificial intelligence to automate their workflows. We propose a path to autonomous cyber agents able to augment defenders by automating critical steps in the cyber defense life cycle. To avoid being overwhelmed, and complexity. The deep neural nets in order to generalize well across creation of autonomous cyber defense agents is one states. By leveraging deep RL, DeepMind has trained promising approach to automate operations and prevent reinforcement learning algorithms to defeat expert human cyber defenders from being overwhelmed.

The concern of machine ethics and laws spills into the everyday workings of society, not just the domain of defense. Many concepts revolve around the law of armed conflict, societal law, ethical dilemmas, psychological concepts and artificially intelligent cyber systems, as well as their relationships among each other. In addition to the delineation of machine ethic guidelines, an ethical life cycle is necessary to account for changes over time in national circumstances and personal beliefs. Just recently, the Defense Innovation Board, which serves as an advisory board to the Pentagon, met and published ethical guidelines in designing and implementing artificially intelligent weapons. Artificial intelligence (AI) systems in the Defense Department must satisfy the conditions of responsibility, equitability, traceability, reliability and governability.