Protect Your Research From Fraud
Proactive, invisible fraud detection that identifies bad actors before they compromise your data. Built for researchers, by researchers.
Trusted by researchers at leading institutions
Fraud is an Existential Threat to Online Research
Recent studies reveal the scale of the problem — and why standard approaches are failing.
Operational Costs
- •Delayed study timelines
- •Increased staff burden
- •Unusable data
Financial Costs
- •Lost participant incentives
- •Increased recruitment spending
- •Potential funder repayment
Scientific Costs
- •Invalid findings
- •Vulnerable to critique
- •Less than 3% fraud can skew results
Standard approaches like IP checks miss 70% of fraudsters. Effective detection must be proactive, multi-pronged, and invisible.
A Smarter Approach to Fraud Detection
StudyShield identifies fraudulent participants before they enter your study — without revealing how.
Proactive Detection
Identify fraudsters before they enroll, not after they've corrupted your data.
Invisible to Fraudsters
Detection methods are hidden, making it much harder for bad actors to adapt.
Multi-Pronged Approach
50+ detection methods covering eligibility, uniqueness, and engagement authenticity.
Clear, Actionable Output
Receive a simple fraud risk rating for each participant to inform your decisions.
Fast Integration
Add to your existing workflow in minutes. No complex setup required.
Platform Agnostic
Works with any survey platform that accepts URL parameters.
Works with your existing survey platforms, or integrates into ours.
Compatible with Qualtrics, REDCap, Typeform, and more
Why StudyShield
Built by researchers who understand the unique challenges of online data collection.
Proactive, Not Reactive
Most fraud detection happens after data collection. StudyShield screens participants before they can compromise your study.
Screen before enrollment, not after
Truly Invisible Detection
Fraudsters can't game what they can't see. Our methods remain hidden throughout the screening process.
Much harder for fraudsters to adapt
IRB-Friendly Design
Data is always encrypted, never shared. PII is destroyed after study close. We obtain participant consent.
Designed with compliance in mind
Validated Results
Low false positive risk with ongoing human review. Continuously tuned based on real study feedback.
Tested in NIH-funded research
Validated in Real Studies
Our detection methods have been validated in NIH-funded research with thousands of participants. Low false positive risk. Low observed false negatives.
Get Started
See StudyShield in action with your own study.
Ready to protect your research?
Get in touch to discuss how StudyShield can help your study.
Email: contact@studyshield.io
Quick Setup
Easy integration with your existing survey platform
Pilot Study
Test with a small sample to see results
Full Deployment
Scale up with confidence in your data