Matrix spillover detection plays a vital role in safeguarding the integrity of large language models (LLMs). Novel developments in artificial intelligence have created unprecedented opportunities for efficiently identifying matrix spillover, a phenomenon where data within different sections of a model leaks. AI-driven approaches leverage computatio