IEEE

Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently

Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...
GitHub

PenGym: Pentesting Training Framework for Reinforcement Learning Agents

PenGym is a framework for creating and managing realistic environments used for the training of Reinforcement Learning (RL) agents for penetration testing purposes. PenGym uses the same API with the ...
IEEE

APRIL: Towards Scalable and Transferable Autonomous Penetration Testing in Large Action Space via Action Embedding

Abstract: Penetration testing (pentesting) assesses cybersecurity through simulated attacks, while the conventional manual-based method is costly, time-consuming, and personnel-constrained.
Cloud Security Alliance

Best Practices to Achieve the Benefits of Agentic AI in Pentesting

Agentic AI systems take penetration testing to a level far beyond traditional methods. In the words of a former Synack Red Team member and security engineer, Max Moroz, “Traditional pentesting is like ...