Abstract
Traditional capture-the-flag (CTF) platforms, which host competitive games for practicing cybersecurity skills, rely on manually created challenges that are static, time-consuming to develop, and lack personalization and dynamic feedback. This disclosure describes artificial intelligence (AI)-driven techniques that automate and enhance various aspects of the CTF experience such as content creation, player simulation, analytics, etc. Simulated AI players test challenges and provide a dynamic, competitive environment. AI-generated content includes high-quality, context-aware CTF challenges that include the necessary hints, solutions, and file attachments. AI-driven analytics provide a personalized analysis of player performance to identify strengths, weaknesses, and potential cheating. CTF management tasks such as hint generation and challenge categorization are automated.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Pillay, Rishalin, "Capture-the-flag (CTF) Competitions Enhanced by Artificial Intelligence", Technical Disclosure Commons, (October 14, 2025)
https://www.tdcommons.org/dpubs_series/8715