Matrix spillover detection is a crucial in safeguarding the integrity of large language models (LLMs). Recent advancements in artificial intelligence have opened new avenues for effectively detecting matrix spillover, a phenomenon where content across different sections of a model transfers. AI-driven methods leverage sophisticated techniques to an