Matrix spillover detection plays a vital role in maintaining the integrity of large language models (LLMs). Recent advancements 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 advanced capabilities to analyze