The rapidly evolving nature of cybersecurity threats has necessitated the development of more adaptive and dynamic defence strategies. Traditional methods often struggle to keep pace with the fluid tactics of attackers, exacerbating the Defender's Dilemma, where attackers only exploit a single vulnerability. In contrast, defenders are tasked with protecting all possible entry points. This thesis addresses this challenge by integrating generative artificial intelligence (AI) with honeypot technologies, culminating in creating SYNAPSE (Synthetic AI Pot for Security Enhancement). It represents an innovative approach to cybersecurity defence by combining the deceptive nature of honeypots with the adaptive capabilities of AI. This thesis explores how such dynamic systems can significantly enhance cyber defences, transforming honeypots from passive lures into active participants in cybersecurity strategies.