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 effectively detecting matrix spillover, a phenomenon where content across different layers of a model transmits. AI-driven approaches leverage sophisticated techniques to analyze