Matrix spillover detection is a crucial in safeguarding the integrity of large language models (LLMs). Novel developments in artificial intelligence have paved the way for efficiently identifying matrix spillover, a phenomenon where information from one different matrices of a model transfers. AI-driven algorithms leverage sophisticated techniques