Towards Cybersecurity Superintelligence: from AI-guided humans to human-guided AI
V\'ictor Mayoral-Vilches, Stefan Rass, Martin Pinzger, Endika Gil-Uriarte, Unai Ayucar-Carbajo, Jon Ander Ruiz-Alcalde, Maite del Mundo de Torres, Mar\'ia Sanz-G\'omez, Francesco Balassone, Crist\'obal R. J. Veas-Chavez, Vanesa Turiel, Alfonso Glera-Pic\'on

TL;DR
This paper reviews recent advances in AI-driven cybersecurity, highlighting three key developments that demonstrate AI surpassing human capabilities in speed, reasoning, and strategic decision-making, paving the way for superintelligence in security.
Contribution
It introduces three pioneering systems—PentestGPT, Cybersecurity AI, and G-CTR—that collectively demonstrate AI's progression towards superintelligence in cybersecurity tasks.
Findings
PentestGPT improves penetration testing efficiency by 228.6%.
Cybersecurity AI operates 3,600x faster than humans and reduces costs significantly.
G-CTR doubles success rates and enhances strategic reasoning in attack and defense scenarios.
Abstract
Cybersecurity superintelligence -- artificial intelligence exceeding the best human capability in both speed and strategic reasoning -- represents the next frontier in security. This paper documents the emergence of such capability through three major contributions that have pioneered the field of AI Security. First, PentestGPT (2023) established LLM-guided penetration testing, achieving 228.6% improvement over baseline models through an architecture that externalizes security expertise into natural language guidance. Second, Cybersecurity AI (CAI, 2025) demonstrated automated expert-level performance, operating 3,600x faster than humans while reducing costs 156-fold, validated through #1 rankings at international competitions including the $50,000 Neurogrid CTF prize. Third, Generative Cut-the-Rope (G-CTR, 2026) introduces a neurosymbolic architecture embedding game-theoretic reasoning…
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Taxonomy
TopicsAdversarial Robustness in Machine Learning · Network Security and Intrusion Detection · Explainable Artificial Intelligence (XAI)
