February 18, 2026 | 12:00 PM - 12:45 PM ET
Application fraud is rising—while admissions teams are under pressure to move faster, not slower. Manual checks and after-the-fact reviews make it difficult to protect institutional integrity without creating friction for legitimate applicants.
This session explores how admissions teams can use real-time application fraud detection to verify identity, assess risk, and prioritize review as applications are submitted. You’ll see how modern, in-app ID verification helps confirm submissions come from real people, while behavioral and technical signals—such as IP patterns, submission velocity, and interaction behavior—surface potential risk early in the process.
We’ll walk through a practical framework for moving fraud detection upstream, enabling teams to focus human review where it matters most, reduce unnecessary manual effort, and maintain access for qualified students.
Attendees will leave with a clearer understanding of how real-time risk assessment can strengthen trust, protect resources, and support faster, more confident admissions decisions.
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