Matrix spillover detection is a crucial in ensuring the integrity of large language models (LLMs). Recent advancements in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where data within different matrices of a model transfers. AI-driven methods leverage sophisticated techniques to analyze