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The Texas A&M University System is one of the largest higher education systems in the United States, encompassing 11 universities, 8 state agencies, and a statewide emergency management network that collectively educates over 153,000 students while defending against state-sponsored hackers and cybercriminals. Faced with a massive threat surface spanning 25,000 endpoints, the system’s cybersecurity team deployed Elastic Security for Endpoint, using its machine learning capabilities and automation layer to unify data from hundreds of sources into a single interface. The result: incident resolution time dropped from months to two hours—a 99% reduction—while automated documentation saved over 100 analyst hours per month.