Matrix spillover detection is a crucial in maintaining the integrity of large language models (LLMs). Novel developments in artificial intelligence have paved the way for efficiently identifying matrix spillover, a phenomenon where content across different matrices of a model transmits. AI-driven methods leverage computational power to evaluate the