Neurosymbolic Autonomous Agents for Cyber-defense

Autonomous agents for cyber applications need to learn, reason about, and adapt and deploy security rules to defend networked computer systems while maintaining mission-critical operationally relevant workflows. The goal of the project is to develop machine learning methods for design of neurosymbolic cyber-security agents which can react autonomously to cyber-attacks.