Operationalizing AI/Machine Learning for Cybersecurity Training

The rapid expansion of artificial intelligence (AI) has significantly shifted the landscape of cybersecurity. On one hand, AI has been leveraged to enhance multiple cybersecurity fields. On the other hand, AI systems also introduce new vulnerabilities that can yield dangerous outcomes, from their trustworthiness to automation of cyber attacks using AI. As estimated in the recent market research report, AI in cybersecurity market will worth $46.3 billion by 2027, which also indicates a strong demand for cyberinfrastructure professionals (CIP) to conduct research using AI and machine learning cyberinfrastructure (CI) in the context of cybersecurity.

This project intends to develop hands-on training materials and provide mentored training for current and future research workforce in engineering and science-related disciplines. The training consists of instruction in the areas of AI, machine learning, and cybersecurity supported by teaching assistants, followed by faculty-guided project research in a multidisciplinary team of participants from each area. By transforming and integrating training materials, this project aims to train potential CIPs in the CI community at large to handle AI with and for cybersecurity. Participants from around the nation will be exposed to multidisciplinary research experiences and have the opportunity for significant career growth.