Closing the blind spot before the refund goes out
November 06, 2026Fraudsters don’t attack your strengths. They look for the place you can’t see, and they work there.
For many campus business offices, that place is the refund review. When a refund looks suspicious, someone in student accounts works through a list of flagged enrollments. They hunt for duplicate names and bank accounts shared by students who have no reason to share one. They pull separate reports. They call IT or financial aid. Then they reach out to the student, document what they hear, and decide whether to reactivate, suspend, or withdraw the enrollment.
It’s careful work, and it has to be done. But it was built for a smaller problem than the one schools face today.
The stakes are rising
Federal attention to student aid fraud is increasing, and institutions are being asked to take on more of the verification work. The Department of Education says its tightened identity checks and new screening tools, including real-time identity screening added to the FAFSA, have significantly reduced attempted federal student aid fraud. Congress is also weighing proposals to strengthen identity verification before aid is disbursed.
For institutions, the direction is clear: more attention is needed on identity verification before aid is disbursed. What fraudsters know about your view
The two threats we hear about most are identity impersonation and account takeover. In the first, a bad actor builds or borrows an identity, a “ghost student,” to collect a refund. In the second, a bad actor takes over a real student’s account and redirects where the money goes.
Both succeed the same way. They stay inside the narrow slice of activity the refund office can see. A repeated bank account is a flag. An unusual login is a flag. Alone, each one has an innocent explanation and may get waved through. The blind spot isn’t any single signal. It’s that the signals live in different places, and no one has the whole picture.
Connecting the signals
Students leave a trail across campus long before a refund is issued. They pay, they swipe in, they eat, they log in, they get credentialed. Illumia sits across much of that activity. A real student leaves a consistent trail. A ghost student, or a hijacked account, rarely does.
That is where we can help schools in a way no one else can. Our intent is to draw on how students interact with the full Illumia portfolio and show the refund office what a bank account change or login alone never will: whether the activity behind a refund looks like the student it claims to be. Our first iteration focuses on signals from our payment solutions, and we plan to bring in signals from across the portfolio over time.
Analyzing all of that by hand isn’t realistic. This is where technology earns its place. We use AI to analyze those interactions together, at a speed and scale a review team can’t match and surface the cases worth a closer look. It’s a means to an end. The end is a school with no blind spot to exploit.
The administrator stays in charge
The hardest part of this workflow today is figuring out which refunds to worry about. That is the slow, manual, labor-intensive part, and it’s where we’re focused.
We aim to do that work for the administrator, so they can spend their time on judgment. They see which cases deserve attention first and why, with the context to act. They reach out to fewer legitimate students, and they don’t add hurdles for the vast majority who are exactly who they say they are. That matters, because heightened scrutiny shouldn’t fall on the students they serve.
The decision to reactivate, suspend, or withdraw stays with the people who know their students, their policies, and their campus. Our job is to give them a clearer view, earlier.
Built with the people who live it
We didn’t start with a solution and go looking for a problem. We started with bursars, student accounts leaders, and refund operations teams. We asked how they review suspicious activity today, where it strains, and what they wish they could do differently. Then we bring ideas back, test our assumptions, and listen when they tell us what’s useful, what’s noise, and where we’ve got it wrong.
That’s what co-creation means to us. Customers don’t validate something after it’s built. They help shape what we build.
What comes next
We’re continuing to listen, test, and work alongside institutions on what will make a real difference for colleges, universities, and students before refunds leave campus. This solution is live with our design partner campuses today, and we’ll have more specifics to share soon.
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