Matrix spillover detection represents a critical aspect in ensuring the integrity of large language models (LLMs). Novel developments in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where information from one different layers of a model leaks. AI-driven approaches leverage advanced capab