Analysis,
CyberAI Project

Dakota Cary

Research Analyst Print Bio

Dakota Cary is a Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET), where he works on the CyberAI Project. He holds an MA from Georgetown’s Security Studies program with a concentration in technology and national security, and also completed a certificate in Asian Studies. Prior to beginning his master’s program, Dakota worked in North Carolina politics.

Six Chinese universities have relationships with Advanced Persistent Threat (APT) hacking teams. Their activities range from recruitment to running cyber operations. These partnerships, themselves a case study in military-civil fusion, allow state-sponsored hackers to quickly move research from the lab to the field. This report examines these universities’ relationships with known APTs and analyzes the schools’ AI/ML research that may translate to future operational capabilities.

Automating Cyber Attacks

November 2020

Based on an in-depth analysis of artificial intelligence and machine learning systems, the authors consider the future of applying such systems to cyber attacks, and what strategies attackers are likely or less likely to use. As nuanced, complex, and overhyped as machine learning is, they argue, it remains too important to ignore.

Machine learning may provide cyber attackers with the means to execute more effective and more destructive attacks against industrial control systems. As new ML tools are developed, CSET discusses the ways in which attackers may deploy these tools and the most effective avenues for industrial system defenders to respond.