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Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
arXiv β CS AI|Justin W. Lin, Eliot Krzysztof Jones, Donovan Julian Jasper, Ethan Jun-shen Ho, Anna Wu, Arnold Tianyi Yang, Neil Perry, Andy Zou, Matt Fredrikson, J. Zico Kolter, Percy Liang, Dan Boneh, Daniel E. Ho||1 views
π€AI Summary
Researchers conducted the first comprehensive evaluation comparing AI agents to human cybersecurity professionals in live penetration testing on a university network with 8,000 hosts. The new ARTEMIS AI agent framework placed second overall, discovering 9 vulnerabilities with 82% accuracy and outperforming 9 of 10 human participants while costing significantly less at $18/hour versus $60/hour for human testers.
Key Takeaways
- βARTEMIS AI agent outperformed 9 out of 10 human cybersecurity professionals in real-world penetration testing.
- βAI agents demonstrated cost advantages at $18/hour compared to $60/hour for professional penetration testers.
- βARTEMIS achieved an 82% valid submission rate while discovering 9 valid vulnerabilities in the enterprise environment.
- βAI agents excelled at systematic enumeration and parallel exploitation but struggled with GUI-based tasks and had higher false-positive rates.
- βExisting AI scaffolds like Codex and CyAgent underperformed compared to most human participants, highlighting the advancement of ARTEMIS.
#ai-agents#cybersecurity#penetration-testing#artemis#enterprise-security#automation#vulnerability-assessment#ai-vs-humans#cost-efficiency#research
Read Original βvia arXiv β CS AI
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