Case Study: College Ave cuts document requests by 90%+ with Prove-powered fraud detection
Key results
The challenge
Student lending applicants are often 18-19 years old with little to no credit history, making traditional data-driven models unreliable. Fraud was evolving through identity theft at scale, synthetic identities, and first-party fraud, while manual review and document-upload processes were slow, inconsistent, and hard to scale.
The solution
College Ave built a layered fraud-detection system with Prove as a core partner, combining Prove Verify and Trust Score with device-based verification, behavioral and intent-signal analysis, and continuous model adaptation.
“What we've proven is that better fraud detection doesn't require more friction. If anything, the more precise your system is, the less friction you need.”
KZKumail ZaidiSenior Director of Fraud, College Ave
The results, in context
The system reduced document requests by more than 90% and enabled real-time decisions on 90% of applications, eliminating multi-week manual review processes.