Report
Cyber Model Arena (Offensive AI Benchmarks)
This report presents a benchmark for evaluating AI agents on offensive security tasks like vulnerability detection, API exploitation, and cloud security attacks. It shows that performance varies significantly depending on both the model and the agent framework, with differences of over 40 percentage points. The study highlights that no single model dominates all categories and that effectiveness is highly domain-specific. It also emphasizes the growing role of AI in both offensive and defensive security contexts. The takeaway is that AI capability in cybersecurity is complex, context-dependent, and must be evaluated holistically.
