6 papers
Detecting Offensive Cyber Agents: A Detection-in-Depth Approach
Matt Mittelsteadt, Jam Kraprayoon, Robin Staes-Polet +4
Artificial Intelligence (AI) agents can now orchestrate cyberattacks. This development is already increasing the speed and scale of cyber attacks, decreasing attack costs, and impr…
Highly Autonomous Cyber-Capable Agents: Anticipating Capabilities, Tactics, and Strategic Implications
Jam Kraprayoon, Shaun Ee, Brianna Rosen +4
This report introduces the concept of "Highly Autonomous Cyber-Capable Agents" (HACCAs), AI systems capable of autonomously conducting multi-stage cyber campaigns at a level compar…
Asymmetry by Design: Boosting Cyber Defenders with Differential Access to AI
Shaun Ee, Chris Covino, Cara Labrador +3
As AI-enabled cyber capabilities become more advanced, we propose "differential access" as a strategy to tilt the cybersecurity balance toward defense by shaping access to these ca…
AI Agent Governance: A Field Guide
Jam Kraprayoon, Zoe Williams, Rida Fayyaz
This report serves as an accessible guide to the emerging field of AI agent governance. Agents - AI systems that can autonomously achieve goals in the world, with little to no expl…
Expert Survey: AI Reliability & Security Research Priorities
Joe O'Brien, Jeremy Dolan, Jay Kim +5
Our survey of 53 specialists across 105 AI reliability and security research areas identifies the most promising research prospects to guide strategic AI R&D investment. As compani…
Coordinated Disclosure of Dual-Use Capabilities: An Early Warning System for Advanced AI
Joe O'Brien, Shaun Ee, Jam Kraprayoon +3
Advanced AI systems may be developed which exhibit capabilities that present significant risks to public safety or security. They may also exhibit capabilities that may be applied…