CyberAI - Line of Research

CyberAI

CSET’s CyberAI Project focuses on the intersection of AI/ML and cybersecurity, including analysis 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.

Recent Publications

Analysis

Through the Chat Window and Into the Real World: Preparing for AI Agents

Helen Toner, John Bansemer, Kyle Crichton, Matthew Burtell, Thomas Woodside, Anat Lior, Andrew Lohn, Ashwin Acharya, Beba Cibralic, Chris Painter, Cullen O’Keefe, Iason Gabriel, Kathleen Fisher, Ketan Ramakrishnan, Krystal Jackson, Noam Kolt, Rebecca Crootof, and Samrat Chatterjee
| October 2024

Computer scientists have long sought to build systems that can actively and autonomously carry out complicated goals in the real world—commonly referred to as artificial intelligence "agents." Recently, significant progress in large language models has fueled new optimism about the prospect of building sophisticated AI agents. This CSET-led workshop report...

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Analysis

Securing Critical Infrastructure in the Age of AI

Kyle Crichton, Jessica Ji, Kyle Miller, John Bansemer, Zachary Arnold, David Batz, Minwoo Choi, Marisa Decillis, Patricia Eke, Daniel M. Gerstein, Alex Leblang, Monty McGee, Greg Rattray, Luke Richards, and Alana Scott
| October 2024

As critical infrastructure operators and providers seek to harness the benefits of new artificial intelligence capabilities, they must also manage associated risks from both AI-enabled cyber threats and potential vulnerabilities in deployed AI systems. In June 2024, CSET led a workshop to assess these issues. This report synthesizes our findings,...

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Data Snapshot

Identifying Cyber Education Hotspots: An Interactive Guide

Maggie Wu and Brian Love
| June 5, 2024

In February 2024, CSET introduced its new cybersecurity jobs dataset, a novel resource comprising ~1.4 million LinkedIn profiles of current U.S. cybersecurity workers. This data snapshot uses the dataset to identify top-producing institutions of cybersecurity talent.

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Recent Blog Articles

Revisiting AI Red-Teaming

Jessica Ji and Colin Shea-Blymyer
| September 26, 2024

This year, CSET researchers returned to the DEF CON cybersecurity conference to explore how understandings of AI red-teaming practices have evolved among cybersecurity practitioners and AI experts. This blog post, a companion to "How I Won DEF CON’s Generative AI Red-Teaming Challenge", summarizes our takeaways and concludes...

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How I Won DEF CON’s Generative AI Red-Teaming Challenge

Colin Shea-Blymyer
| September 26, 2024

In August 2024, CSET Research Fellow Colin Shea-Blymyer attended DEF CON, the world’s largest hacking convention to break powerful artificial intelligence systems. He participated in the AI red-teaming challenge, and won. This blog post details his experiences with the challenge, what it took to win the grand prize, and what...

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The NAIRR Pilot: Estimating Compute

Kyle Miller and Rebecca Gelles
| May 8, 2024

The National Artificial Intelligence Research Resource (NAIRR) pilot provides federal infrastructure, including computational resources, to U.S. AI researchers. This blog post estimates the compute provided through the pilot’s initial six resources. We find that the total compute capacity of the initial resources is roughly 3.77 exaFLOPS, the equivalent of approximately...

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Our People

John Bansemer

Director of the CyberAI Project and Senior Fellow

Ali Crawford

Research Analyst

Andrew Lohn

Senior Fellow

Colin Shea-Blymyer

Research Fellow

Jenny Jun

Non-Resident Fellow

Jessica Ji

Research Analyst

Josh A. Goldstein

Research Fellow

Kendrea Beers

Horizon Junior Fellow

Kyle Crichton

Research Fellow

Kyle Miller

Research Analyst

Maggie Wu

Data Research Analyst

Related News

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.
In a WIRED article discussing issues with Microsoft's AI chatbot providing misinformation, conspiracies, and outdated information in response to political queries, CSET's Josh A. Goldstein provided his expert insights.
In a KCBS Radio segment that explores the rapid rise of AI and its potential impact on the 2024 election, CSET's Josh Goldstein provides his expert insights.
In a BBC article that discusses the urgent need to integrate cybersecurity measures into artificial intelligence systems, CSET's Andrew Lohn provided his expert analysis.
In a Forbes article discussing the challenges posed by AI-generated content in the context of political campaigns and the upcoming presidential election, CSET's Josh A. Goldstein provided his expert take.