Matrix spillover detection represents a critical aspect in safeguarding the integrity of large language models (LLMs). Recent advancements in artificial intelligence have paved the way for precisely pinpointing matrix spillover, a phenomenon where data within different sections of a model transfers. AI-driven methods leverage computational power to