Tag Archive: CyberAI

Poison in the Well

Andrew Lohn
| June 2021

Modern machine learning often relies on open-source datasets, pretrained models, and machine learning libraries from across the internet, but are those resources safe to use? Previously successful digital supply chain attacks against cyber infrastructure suggest the answer may be no. This report introduces policymakers to these emerging threats and provides recommendations for how to secure the machine learning supply chain.

Machine Learning and Cybersecurity

Micah Musser Ashton Garriott
| June 2021

Cybersecurity operators have increasingly relied on machine learning to address a rising number of threats. But will machine learning give them a decisive advantage or just help them keep pace with attackers? This report explores the history of machine learning in cybersecurity and the potential it has for transforming cyber defense in the near future.

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.

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.

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