CSET’s CyberAI Project focuses on the intersection of AI/ML and cybersecurity. This intersection includes analyses of AI/ML’s potential uses in cyber operations, the potential failure modes of AI/ML applications for cyber, how AI/ML may amplify future disinformation campaigns, and geostrategic competition centered around cyber and AI/ML.

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Reports

Tracking AI Chips

Jacob Feldgoise, Kyle Miller, and Hanna Dohmen

| September 2026

Large-scale AI chip smuggling undermines U.S. export controls that are designed to prevent adversaries from developing advanced AI capabilities. Location verification—which would help regulators determine where AI chips are located—has emerged as a key proposal to strengthen export control enforcement efforts. This report assesses the viability of location verification methods,...

Data Brief

How Global Talent Pathways Shape U.S. STEM Award Achievement

Adrian Thinnyun, Kelly Beavan, and Zachary Arnold

| September 2026

Immigrants make up nearly half of U.S. recipients of the world's most prestigious STEM awards, yet little is known about how this talent first arrives in the country. This data brief analyzes 550 recipients of the Nobel Prize, the Lasker Award, the ACM A.M. Turing Award, and MIT Technology Review's...

Reports

Artificial Intelligence in Competition

Andrew Lohn

| September 2026

Winning the AI race does not guarantee any economic, social, or military benefit. Without a theory of victory mapping AI development and deployment to competitive advantage, and ultimately to beneficial outcomes like profit or military victory, AI might provide more impressive capability than tangible benefit. This report evaluates various types...

Blog

Should We Track AI Chips?

Emily Tavenner

|

CSET’s Jacob Feldgoise, Kyle Miller, and Hanna Dohmen dove deep into investigating how location verification methods can—and cannot—improve enforcement of export controls on powerful AI chips, culminating in their report. I sat down with Jacob to learn more about the issue, their findings, and what those findings mean for mitigating...

Blog

Tracking AI Chips: What Does It Cost?

Jacob Feldgoise, Kyle Miller, and Hanna Dohmen

| September 29, 2026

In an accompanying report, we found that two methods are best for verifying the location of AI chips: ping-based location verification (PLV) and physical inspections. This piece compares these two methods through a cost-benefit analysis and shows that PLV is the more cost-effective approach. We conclude that...

Blog

Why Do AI Systems Misbehave?

Colin Shea-Blymyer

| July 21, 2026

AI systems are increasingly impressive, which makes their failures all the more baffling. This blog dives into the causes of AI misbehavior.

Andrew Lohn

Senior Fellow

Ali Crawford

Senior Research Analyst

Colin Shea-Blymyer

Research Fellow

Jessica Ji

Senior Research Analyst

Josh A. Goldstein

Research Fellow

Kyle Crichton

Research Fellow

Kyle Miller

Senior Research Analyst

CSET’s Andrew Lohn shared his expert perspective in an op-ed published by The National Interest. In the piece, he explains that AI-assisted hacking signals a deeper cybersecurity threat: not new tools, but the breakdown of core defenses like defense in depth against adaptive, large-scale attackers.

CSET’s Kyle Miller shared his expert analysis in an article published by WIRED. The article discusses how OpenAI’s new open-weight models are drawing significant interest from the U.S. military and defense contractors, who see potential for secure, offline, and customizable AI systems capable of supporting sensitive defense operations.

John Bansemer and Kyle Miller shared their expert analysis in a report published by the International Institute for Strategic Studies. In their piece, they highlight the release of DeepSeek’s open-weight AI model “R1” in January 2025 and its major impact on global AI competition, especially between China and the United States.

In an article published by NPR which the discusses the surge in AI-generated spam on Facebook and other social media platforms, CSET's Josh A. Goldstein provided his expert insights.

In a new preprint paper, CSET's Josh A. Goldstein and the Stanford Internet Observatory's Renee DiResta explored the use of AI-generated imagery to drive Facebook engagement.

In an article published by the Brennan Center for Justice, Josh A. Goldstein and Andrew Lohn delve into the concerns about the spread of misleading deepfakes and the liar's dividend.