Leveraging Agentic AI for Cyber Attack Execution and Threat Analysis

This project explores how agentic AI can automate key stages of the cyberattack lifecycle within a controlled environment. Offensive agents execute predefined attack scenarios, while defensive agents collect and analyze system logs to identify and classify attack behaviors. The project demonstrates how agentic AI can improve the speed, consistency, and efficiency of cyber operations and threat analysis.

Interns: Vihaan Jain, Emmanuel Osei, Josiah Wheeler

Mentors: Raymond Luo (AOS/QNN), Gabriela Schweers (AOS/QNN)