FraudWatch

Stop Ghost Students
Protect Financial Aid
Automate Fraud Detection

FraudWatch Benefits

Ghost Student Prevention
Automated AI Risk Scoring
Continuous Machine Learning Feedback Loop
Financial Aid Safeguarding
Analyst-Led Threat Hunting
Reduced Workload & Operational Efficiency
Fully Managed "Plug & Play" Solution
Audit & Compliance Risk Reduction
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The Ghost Student Crisis Is Straining Admissions Teams

Community Colleges and Universities are facing a massive surge in fraudulent applications.

Organized criminal networks and AI-driven automation are generating “ghost students” to exploit federal and state financial aid programs, driving significant losses in federal and state aid dollars while forcing admissions teams into costly, manual review processes and spreadsheet-driven workflows.

  • Empty Classrooms: Artificial waitlists block legitimate students, leaving faculty with empty seats and wasted resources.
  • Financial Drain: Thousands of dollars in aid disbursed to bad actors.
  • Audit Concern: Constant worry about federal audits and institutional liability.

Discovery & Audit

Understand your business, culture, and current state

Insight & Analysis

Market trends, internal diagnostics, and opportunity mapping

Strategic Direction

Define goals, value proposition, and differentiation

Roadmap Creation

Step-by-step execution plan with measurable milestones

STOP GHOST STUDENTS

Protect Classroom Capacity

  • Accurate resource planning
  • Fill classes with genuine learners
  • Artificial waitlists and empty seats
FraudWatch - Protect the Classroom
FraudWatch - Before & After
AUTOMATE FRAUD DETECTION WITH AI

Eliminate Manual Reviews

  • Increase Efficiency: Decrease time staff spends on Fraud
  • Reallocate staff to helping legitimate students
  • Reduce labor-intensive, manual processes
PROTECT FINANCIAL AID

Prevent and deter financial aid fraud

  • Reduce Fraud Risk
  • Protect your institution's credibility and public trust
  • Mitigate the loss of financial aid funds
FraudWatch - Success

Frequently Asked Questions

We’ve compiled answers to the most common questions clients ask about our business strategy consulting.

What is Conducive FraudWatch, and how does it identify fraudulent applicants?

Conducive FraudWatch is a fully managed, AI-driven fraud detection platform built on Splunk designed specifically for higher education institutions. It analyzes incoming admissions and financial aid applications in real time using machine learning models that detect subtle anomalies—such as automated bot behaviors, synthetic identities, or stolen SSNs paired with fake names—that traditional rule-based systems miss.

How does FraudWatch integrate with our existing Student Information System (SIS)?

FraudWatch integrates seamlessly into existing admissions pipelines and Student Information Systems (SIS), including Ellucian Banner. It acts as a invisible validation layer, connecting incoming data to external verification databases (such as IP, SSN, and address checks) without requiring changes to existing applicant-facing forms.

What internal IT or cybersecurity resources are required to deploy and maintain FraudWatch?

Minimal internal IT lift is required. FraudWatch operates as a fully managed, "plug-and-play" solution where Conducive manages the underlying Splunk infrastructure, system updates, and threat detection models. Dedicated Conducive security analysts handle ongoing threat hunting to adapt to evolving fraud tactics, eliminating the need to hire internal cybersecurity specialists.

Will FraudWatch add friction or cause delays for legitimate students?

No. Real-time risk scoring occurs silently in the background as applications enter the system. Genuine prospective students experience no added application steps or delays, while the institution ensures that course seats and financial aid funds remain reserved for actual learners rather than automated bots.

Other services

Splunk Enterprise SecurityManaged SplunkObservability

Safeguard Your Financial Aid from Ghost Student

Reach out to discuss automated countermeasures for synthetic identities with dedicated fraud analysts.