Ghost Students, Real Threats: Stopping Financial Aid Fraud Before It Starts
As the fall term approaches, colleges and universities aren’t just welcoming new students—they’re also facing a surge in fraudulent applications from so-called "ghost students." These fake, stolen or synthetic identities exploit automated admissions and financial aid systems, siphoning public funds and threatening the integrity of higher education.
In this timely webinar, we’ll examine how institutions can defend against this growing threat using modern identity verification and fraud analytics. From initial application to aid disbursement, you’ll learn how to detect fraud early — without slowing down access for legitimate students — by leveraging device intelligence, risk scoring and behavioral analytics to flag risk in real time.
What You’ll Learn:
- The scope and impact of ghost student fraud in higher education
- How bad actors use fake or stolen identities to access financial aid
- Where and how to embed digital identity verification in the admissions lifecycle
- How device intelligence and behavioral analytics flag risk in real time
- Case studies from institutions proactively fighting enrollment fraud
- Strategies to protect equity while enforcing verification standards
Protecting public funds and maintaining trust in higher education has never been more urgent. Join us to discover how your institution can stay one step ahead — ensuring aid goes to real students, not ghost identities.
Speaker and Presenter Information
Neal Galucci, Sr Solutions Consultant, Socure
William (Bill) Rials, Ph.D., Senior Fellow, Center for Digital Government
Brian Cohen � Moderator, Vice President of the Center for Digital Government and Center Digital Education
Relevant Government Agencies
Other Federal Agencies, Federal Government, State & Local Government
View Exhibitor/Sponsorship Details
Event Type
Webcast
When
Thu, Sep 25, 2025, 2:00pm
ET
Cost
Complimentary: $ 0.00
Website
Click here to visit event website
Event Sponsors
Organizer
Government Technology