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  • ReliaQuest Invests $1.5 Million to Advance AI and Cybersecurity Education at USF
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ReliaQuest Invests $1.5 Million to Advance AI and Cybersecurity Education at USF


ReliaQuest Invests $1.5 Million to Advance AI and Cybersecurity Education at USF
  • by: Business Wire
  • |
  • June 26, 2026

ReliaQuest today announced a $1.5 million investment to expand AI cybersecurity research and education at the University of South Florida's College of Artificial Intelligence, Cybersecurity and Computing. The gift will establish the college's first-ever endowed professorship and create a new study track within the ReliaQuest Labs program focused on artificial intelligence-supported software engineering.

Quick Intel

ReliaQuest invests $1.5 million in USF College of AI, Cybersecurity and Computing.

Gift establishes first-ever endowed professorship at the college.

Creates new study track in AI-supported software engineering within ReliaQuest Labs.

More than 300 USF students have graduated from ReliaQuest Labs since 2018.

New track centers on software engineering and prompt engineering.

ReliaQuest's GreyMatter platform provides agentic defense for enterprises.

Expanding AI Cybersecurity Education

Brian Murphy, ReliaQuest founder and CEO, stated: "Cybersecurity is the greatest technical challenge of our generation, and with AI reshaping the threat landscape, it's only getting more complex. That just creates even more opportunity for talented individuals to enter this industry. Our partnership with USF has always been about making sure students graduate ready to seize that opportunity, and this investment helps do that on a broader scale." The ReliaQuest AI and Cybersecurity Professorship will help attract and retain top faculty talent and support research in AI cybersecurity. The gift also expands the longtime ReliaQuest Labs experiential learning program at USF, strengthening the college's ability to attract top talent and prepare workforce-ready graduates.

ReliaQuest Labs Program Growth

The ReliaQuest Labs program was established in 2018 to provide students with hands-on experience that complements the in-class curriculum. More than 300 USF students have graduated from the Labs program since its inception, with the vast majority accepting jobs at ReliaQuest or other leading cybersecurity employers. This new gift adds a second track in AI-enabled software engineering to the existing cybersecurity operations focus. The new track will center on software engineering and emerging areas such as prompt engineering, aligning with growing industry demand in AI-driven security and preparing students for evolving workforce needs.

Academic and Leadership Perspectives

Sudeep Sarkar, launch dean and professor at the college, commented: "ReliaQuest's support enables USF to expand cutting‑edge research and education in artificial intelligence and cybersecurity by attracting exceptional faculty members. The ReliaQuest Labs provide a powerful experiential learning environment, one of the core pillars of our academic mission, where students engage directly with real‑world challenges and translate research and innovation into impact."

USF President Moez Limayem added: "This transformative gift enhances USF's hands-on learning opportunities for students while supporting USF's efforts to attract and retain world-class faculty in critical and rapidly evolving fields. I am grateful that we have been able to strengthen an already amazing partnership with one of the most forward-looking companies in our nation."

About ReliaQuest

ReliaQuest is an agentic AI cybersecurity company whose platform, GreyMatter, serves as the Agentic Defense for the enterprise — defending organizations against AI-accelerated attacks. Any defender can harness that AI to detect threats, run investigations, execute response, and hunt across their entire tech stack in plain language without requiring any tool expertise. GreyMatter makes this possible through three capabilities: the Universal Translator, which automatically normalizes telemetry across any vendor without data centralization; Detection at Source, at Storage, or in Transit, which catches threats where data lives or as it moves before it is ever indexed, parsed, or stored; and Agentic Orchestration, which combines a natural language operating layer, multiple autonomous agentic systems, and an AI Model Broker that continuously selects the best model for every task based on speed, cost, and accuracy.

  • CybersecurityAIAgentic DefenseWorkforce Development
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