Tag Archive: CyberAI

Academics, AI, and APTs

Dakota Cary
| March 2021

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.

Lisa Oguike is a Semester Research Analyst at CSET where she works on the CyberAI Project.

Heeu Millie Kim is a Semester Research Analyst at CSET where she works on the CyberAI Project.

Kayla Goode is a Research Analyst working on the CyberAI Project at CSET.

Ali Crawford is a Research Analyst working on the CyberAI Project.

Destructive Cyber Operations and Machine Learning

Dakota Cary Daniel Cebul
| November 2020

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.

Aurora Johnson is a Semester Research Analyst at CSET where she works on the CyberAI Project.

Chris Rohlf is a non-resident Research Fellow at CSET, where he works on the CyberAI Project.

Aditi Joshi is a Semester Research Analyst on the CyberAI Project.

Andrew Lohn is a Senior Fellow working on the CyberAI Project.