Matrix spillover detection is a crucial in ensuring the integrity of large language models (LLMs). Emerging trends in artificial intelligence have paved the way for effectively detecting matrix spillover, a phenomenon where data within different sections of a model transfers. AI-driven methods leverage computational power to analyze the association