Matrix spillover detection represents a critical aspect in safeguarding the integrity of large language models (LLMs). Recent advancements in artificial intelligence have opened new avenues for effectively detecting matrix spillover, a phenomenon where data within different sections of a model transmits. AI-driven approaches leverage advanced capab