Matrix spillover detection plays a vital role in maintaining the integrity of large language models (LLMs). Novel developments in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where data within different matrices of a model leaks. AI-driven methods leverage computational power to evaluate