Legal, Policy, and Compliance Issues in Using AI for Security
The primary deep paper regarding is titled "Automated Penetration Testing Using Deep Reinforcement Learning" , authored by researchers at the Japan Advanced Institute of Science and Technology (JAIST). This foundational work introduces the framework as a method to automate the discovery of attack paths in complex network environments. Core Paper & Framework Details autopentest-drl
It utilizes the MulVAL reasoning engine to generate logical attack graphs, helping the AI visualize the network's potential weak points. Legal, Policy, and Compliance Issues in Using AI