AIBullisharXiv – CS AI · May 276/10
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CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly
Researchers introduce CyberEvolver, an AI agent framework that autonomously improves its own architecture through iterative learning from failed cybersecurity tasks. The system demonstrates 13.6% average success rate improvements across CTF challenges and penetration testing, outperforming fixed human-designed alternatives and competing self-improvement methods.