Student research advances phishing detection and cybersecurity innovation

Taylor Le, BS Information Technology '26, was participating in the Professional Readiness Experiential Program (PREP) internship at Mobius when he was put in contact with Brian Ngac, the assistant dean for centers and FedWriters, Inc., Corporate Partner Faculty Fellow at the CostelloCollege of Business at George Mason University, who was helping to fund the program.

(left to right) Tien Nguyen, Taylor Le, Richard Nguyen, and Brian Ngac at the 2026 Commonwealth Cyber Initiative Symposium. Photo provided by Brian Ngac.

During weekly check-ins throughout the internship, Ngac provided Le with a more in-depth understanding of PREP, an experiential learning program he launched at Costello. Le expressed interest in conducting research on phishing detection to which Ngac encouraged him to develop a proposal so he could help secure funding. The PREP internship was sponsored by the Commonwealth Cyber Initiative, which also supported the research conducted by Le and his team.

To conduct formal research on a multi-signal phishing detection and continuous user training platform, Le recruited two Virginia Tech computer science students-Tien Nguyen and Richard Nguyen-whom he met through networking. The industry participant Ngac paired them with was Parsons Corporation, a digitally enabled solutions provider at which he also works. Nathan Dykas, senior computational intelligence officer, and Daniel Boyce, AI (artificial intelligence)/ML (machine learning) engineer, mentored the student team during weekly meetings, providing recommendations and guidance on the direction of their research.

"It was awesome to see all the different professors and other students who are going down the same path as us and to see what they were doing with their research, as well as to get additional feedback that we could use to improve our own research."

- Taylor Le, BS Information Technology '26

In collaboration with Parsons Corporation, the team developed Orion, a platform designed for phishing detection and user training. Orion was developed to address the issue of detecting modern phishing pages by combining machine learning with contextual guidance. It turns detection into an immediate teaching moment by mapping findings for the user, showing which parts of the page triggered concern.

Orion was selected for demonstration at the 2026 Commonwealth Cyber Initiative Symposium in Richmond, Virginia, where the team forged valuable connections and gained insights to further strengthen the platform.

"It was awesome to see all the different professors and other students who are going down the same path as us and to see what they were doing with their research, as well as to get additional feedback that we could use to improve our own research," says Le. The entire team made the trip for the symposium, where they had a booth playing their demo video and where they conducted a live demo as well.

"Being an information technology major, I always thought that I was kind of looped into only being able to do IT-based jobs," says Le. "But doing a technical project like this gave me more confidence to strive higher and chase those cyber engineering jobs, which I feel like, without the program, I wouldn't be in the same spot."

The team's successful showcase at the Commonwealth Cyber Initiative Symposium underscores how experiential learning, research, and industry partnerships can come together to prepare students to develop innovative solutions in the fields of AI and cybersecurity. Because of PREP and its invaluable industry connections, Le graduated with greater clarity, confidence, and direction, ready to make his mark in these evolving fields.

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