The CyberAI project focuses on the intersection of cybersecurity and artificial intelligence (AI). We seek to understand how advances in AI may alter the current state of cybersecurity and, conversely, how the cybersecurity of AI systems affects their safe and trusted development, fielding and operations.
The CyberAI research agenda covers six specific topic areas outlined below. Select any of the topic areas to be redirected to a listing of publications within a given topic area.
- Automating Cyber examines the potential for AI to support and enhance defensive cyber operations, including threat detection, vulnerability discovery and patching. It also explores how AI may alter future offensive cyber operations.
- Cybersecurity of AI Systems researches questions on the vulnerabilities of AI systems that can be enabled by cyber means. These vulnerabilities include the supply chain essential in then current machine learning pipeline.
- The Role of AI in Disinformation explores the role that AI may play in disinformation and propaganda campaigns, including the potential use and misuse of large language models and other generative AI systems
- Talent and Education identifies and evaluates pathways and best practices for developing a strong U.S. cyber and AI workforce and building the next generation of cyber professionals.
- Compute surveys trends in computing capabilities and their implications for the future development of AI systems.
- International CyberAI Progress investigates the cyber and AI efforts of other nations.
If interested, we also invite you to review the full list of CyberAI publications.
CyberAI is directed by John Bansemer. Prior to joining CSET, John served in a variety of cyber, space and intelligence positions within the U.S. Air Force before retiring as a Lieutenant General. His last position was Assistant Director for National Intelligence, Partner Engagement, within the Office of the Director of National Intelligence. In addition to his role with CSET, he serves as an adjunct professor at Georgetown University. Members of the team also include:
- Ali Crawford, Research Analyst
- Andrew Lohn, Senior Fellow
- Jenny Jun, Research Fellow
- Jessica Ji, Research Analyst
- Josh A. Goldstein, Research Fellow
- Kyle Miller, Research Analyst
- Maggie Wu, Data Research Analyst