Matrix spillover detection represents a critical aspect in ensuring the integrity of large language models (LLMs). Novel developments in artificial intelligence have created unprecedented opportunities for effectively detecting matrix spillover, a phenomenon where content across different sections of a model transfers. AI-driven algorithms leverage