Matrix spillover detection represents a critical aspect in maintaining the integrity of large language models (LLMs). Recent advancements 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