Stop Fraud Before It Starts
LightleapAI™ Fraud Elimination enables colleges and universities to proactively detect and prevent fraudulent applications before they enter your Student Information System. From fake applications and stolen identities to suspicious enrollment behavior, LightleapAI delivers intelligent, real-time protection tailored to the specific challenges of higher education.
Powered by advanced AI, the platform continuously monitors activity across systems, accurately flags anomalies, and evolves with emerging threats. Seamlessly integrating into your existing workflows, LightleapAI strengthens your institution’s security posture without increasing administrative workload.
LightleapAI ™ Fraud Elimination Model Approach
The proactive model operates via an API trigger—such as upon receipt of application data or during a registration transaction—that invokes the LightLeapAI engine to assess and return a fraud score indicating the likelihood of fraudulent activity. Based on the confidence level of the score, institutions can automate local actions, such as placing holds or flagging records for further review.
Each score is accompanied by a rationale explaining the factors contributing to the fraud risk, providing transparency and supporting human decision-making when manual intervention is needed.
Leveraging LightLeapAI™ alongside the N2N Illuminate platform fosters collaboration both within districts and across the California Community College (CCC) system. By sharing data on fraud patterns, known bad actors, and blacklisted identifiers—such as IP addresses, Social Security numbers, and phone numbers—institutions can strengthen collective fraud detection capabilities and enhance system-wide security.
Looking ahead, a scalable model would enable LightLeapAI™ to generate a powerful network effect: once fraud is identified at one institution, the system could recognize and block the same bad actors across multiple colleges, significantly improving the speed and scope of fraud prevention.
Types of Clusters
Multiple Applicants from the same IP Address - Multiple applicants being created and sent from the same IP address
Multiple Accounts from the same Application and Behavior - Muktiple accounts being created with same behavioral patterns and across all applications with fraudster data
Collaboration & Sharing
Key Fraudulent Identifiers
Leading Indicators of Fraud
Age
SSN Issuing State
High School State
Financial Aid References
Intended Major
GPA - Grade Point Average
Some fraud clusters are identified based on demographic or metadata similarities—for example, applications or registrations originating from the same IP address or sharing other common attributes. More advanced clusters are formed using AI-driven intelligence that connects multiple accounts through patterns in metadata, behavioral signals, engineered data fields, and other inputs used in model training.
This layered approach enables LightleapAI to uncover coordinated fraud efforts that may not be vivible through traditional review methods.
Cluster Identification
Fraud Capture Efficiency
The primary goal of LightLeapAI™ Fraud Elimination is to identify fraudulent applications early—before financial aid is disbursed—allowing institutions to preserve funding and redirect time and resources toward serving genuine students. By reducing the burden of fraud, faculty and staff can focus on their core mission: supporting student success and academic excellence.
Top Customers
Let’s Shape the Future of Higher Ed - Together
Whether you're looking to eliminate fraud, boost student success, or simply explore how AI can streamline your campus operations, we're here to help. Tell us a bit about your goals, and a member of our team will reach out to schedule a conversation tailored to your institution's needs.
