Fraud in Higher Ed: Why Identity Verification Alone Isn't Enough
Across higher education, fraud is no longer being treated as an isolated problem—it is becoming an operational challenge.
Community colleges in particular are reporting increasing volumes of applications tied to stolen identities, synthetic applicants, and organized financial aid fraud schemes. What was once viewed as an occasional edge case is becoming a recurring challenge for institutions.
Over the past several months, one topic has surfaced repeatedly in conversations with enrollment leaders, registrars, financial aid administrators, and IT teams:
Fraud.
Not in the abstract, but in very practical terms.
Institutions are describing applications submitted using stolen identities. They are encountering fake or synthetic applicants designed to exploit enrollment processes. They are seeing real individuals submit misleading or incomplete information to gain access to benefits they are not entitled to receive.
In many cases, these applications are making it all the way through admissions and into downstream processes before they are identified.
The question I hear most often is:
How should we be thinking about this?
The Market's Response: Identity Verification
Much of the current conversation focuses on identity verification.
That makes sense.
If bad actors are using stolen or synthetic identities, the logical response is to verify that the person submitting the application is who they claim to be.
A growing number of institutions are evaluating identity verification solutions that use government-issued identification, selfies, liveness detection, and related techniques to confirm an applicant's identity.
These tools can be highly effective at answering an important question:
Is this a real person?
Identity verification is becoming an increasingly important component of a modern fraud prevention strategy. However, adoption remains uneven due to cost, implementation complexity, and the operational changes required to deploy it effectively.
More importantly, fraud prevention requires institutions to answer a second question as well.
Why Fraudsters Target Colleges
The objective is rarely admission itself. In many cases, admission is simply the mechanism used to access financial aid, refunds, institutional accounts, or other resources.
Instead, bad actors are often seeking outcomes such as:
- Accessing financial aid using stolen or synthetic identities
- Enrolling, paying, and redirecting refunds for financial gain
- Creating institutional accounts that can later be used for phishing campaigns or other fraudulent activity
- Gaining access to institutional services and benefits that require student status
These schemes succeed not simply because institutions fail to verify identity, but because they exploit how student-declared information is collected, evaluated, and trusted throughout the student intake process.
That distinction is important because it highlights a gap that identity verification alone cannot address.
The Second Question Institutions Must Answer
Even when identity has been verified, institutions still need to answer:
Is what this person is claiming actually true?
This distinction is critical.
A verified individual can still submit inaccurate information.
A verified individual can still provide misleading documentation.
A legitimate applicant can still misrepresent facts that influence institutional decisions.
The challenge is that many higher education processes were designed around trust. Historically, institutions relied heavily on student-declared information and reviewed supporting documentation only when questions arose.
Bad actors have learned to exploit those assumptions.
A Two-Layer Model for Fraud Prevention
Identity verification is increasingly becoming part of the answer.
But fraud prevention requires institutions to answer two distinct questions:
Layer 1: Identity Verification
The first layer confirms that the applicant is a real person.
This includes capabilities such as:
- Government ID validation
- Selfie matching
- Liveness detection
- Identity proofing
The objective is straightforward:
Confirm the person is real.
Layer 2: Claim Validation
The second layer validates the information being used to make institutional decisions.
This includes:
- Verifying student-declared information using authoritative evidence
- Confirming that required documentation has been provided
- Ensuring submitted information aligns with institutional policies and regulatory requirements
- Identifying inconsistencies before they reach downstream systems
The objective is equally straightforward:
Validate what is being claimed.
Institutions increasingly need both layers.
One without the other leaves a meaningful gap.
Identity verification confirms the person. Claim validation confirms the information.
Together, they create a more complete framework for addressing fraud.
Moving Fraud Prevention Upstream
One of the common themes across institutions is that fraud is often discovered too late.
By the time concerns are identified, the application may already be admitted, integrated into downstream systems, or involved in financial aid processes.
As a result, staff are forced into expensive, manual investigations and remediation efforts.
The more effective approach is to move verification upstream into the intake process itself.
When identity and claims are validated early:
- Fraudulent applications are identified sooner
- Data quality improves
- Manual review decreases
- Downstream remediation effort is reduced
- Compliance risk is lowered
This is not simply a fraud prevention issue.
It is also a data integrity, operational efficiency, and institutional trust issue.
Looking Ahead
Fraud in higher education is evolving rapidly.
The institutions responding most effectively are not treating fraud solely as an identity problem.
They are recognizing that both questions matter:
- Is the person real?
- Is what they are claiming true?
The future of student verification will require institutions to answer both.
That's where a more complete, evidence-based approach to fraud prevention begins.
