During the talk, I will address the escalating issue of cheating in online chess, underscored by recent incidents like Hans Niemann's case, highlighting the urgent need for effective solutions to maintain fair play and uphold competitive integrity. I will present our innovative approach to detecting AI assistance in chess, utilizing advanced neural networks. Our research involves a comprehensive analysis of extensive chess game data, encompassing moves from established engines like Stockfish to cutting-edge neural networks such as Maia, Maia individual and its components. Key aspects of our methodology include: • Centipawn Deviations: Evaluating deviations from typical computer strategies to identify moves influenced by AI. • Human-like Play Recognition: Utilizing Maia's and Maia Individual’s capability to discern human-specific playing styles, enhancing our ability to distinguish genuine human play from computer-assisted moves. • Move Time Distribution: Analyzing patterns in move time distributions as potential indicators of AI involvement, adding another layer of detection. Our approach marks a significant advancement in cybersecurity efforts aimed at combating digital deception in gaming. The success of our algorithm, achieving an impressive 98.62% accuracy rate in detecting AI aids, underscores its efficacy in safeguarding gaming integrity. I will discuss the broader implications of our findings beyond chess, emphasizing the potential applicability of our methodology in addressing cheating across various digital environments. Ethical considerations are integral to our approach, advocating for the establishment of guidelines to ensure fairness and equity in AI utilization. This talk aims to provide insights into our pioneering methodology, discuss the pivotal role of neural networks in cybersecurity, and explore future directions for enhancing fair play in gaming environments. During the talk I will show the practical use of the model trained by Maia and Maia Individual’s chess engines. I will show the work of our novel neural network for cheating detection in ches