Identity Verification

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Your Solution for Applicant Identity Verification

We are thrilled to introduce an exciting new solution to screen your applicants—BMTX Identity Verification.


Detecting fraudulent submissions early in the admissions process is important to prevent financial and risk burdens. Fraudulent applications can increase your costs and negatively impact acceptance and retention rates and course decisions.


BMTX Identity Verification can streamline the admissions process and enhance security by verifying the identity of your prospective students with ease.

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Hand with card against a security panel

Colleges and universities grapple with a recurring issue: verifying student identities. Detecting these fraudulent submissions early in the application process is a challenge, resulting in substantial financial burdens for universities.


The associated costs incurred and the risk of disbursing aid to undeserving individuals not only strain university budgets, but also compromise the equitable distribution of financial aid to deserving students.

Colleges and universities face challenges due to fraud vulnerabilities during the student enrollment process, and BMTX can help! We created a data-driven, student identity verification solution which will have a key role within the university enrollment process.


As a result, universities will have enriched identity information to inform university-driven business rules to accept or reject student enrollment applications well before any fraudulent disbursements can occur.


Trusted by 4 of 5 top banks and 7 of top 10 credit card issuers

  • 85% reduction

    in fraud rate compared to traditional services

  • Up to 95% reduction

    in third-party and synthetic identity fraud

  • Up to a 13x reduction

    in false positives

  • Save an average of 15-20 hours/week of manual, peak-season work

The cost of acquiring a new student is increasing every year, with an increase of up to 32% from 2020 to 2022 alone.

Pieroni, Alejandra Sosa “3 Key Takeaways from the Cost of Recruiting an Undergraduate Student Report” Education Insights Blog

How It Works: Data Source

  • Multi-layered fraud controls
  • Human-in-the-loop labeling
  • Fabricated vs. manipulated classification
  • Consortium reported/cleaned synthetic data

  • Credit header/inquiry and velocity data
  • Synthetic-specific features and patterns
  • Models trained to think like fraudsters

Hundreds of Data Sources: 7 Billion Records and Growing!

Ready To Learn More About BMTX Identity Verification?