Matrix spillover detection represents a critical aspect in safeguarding 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 transmits. AI-driven methods leverage computational po