Description
Research Defender provides a robust pre-survey fraud prevention solution designed to block fraudulent respondents before they enter your survey. By scanning 5 billion survey attempts annually, it utilizes 130+ signal digital fingerprinting to identify and block bots, VPNs, and click farms. This system ensures that only legitimate respondents participate, maintaining the integrity of your survey data.
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The solution operates at the survey's entry point, scanning and scoring each respondent against multiple signals in milliseconds. Known fraudsters, bots, and hyperactive respondents are blocked before they can access the questionnaire. This proactive approach prevents fraudulent activities from skewing survey results, providing reliable data for strategic decision-making.
Research Defender's capabilities include a comprehensive digital fingerprinting system that builds deep session profiles from hardware, software, browser data, and fraud history. It features a unique No-Fly Fraud Suppression List, which blocks repeat fraudsters across the ecosystem. Hyperactivity detection identifies respondents attempting excessive surveys in a short period, a feature often missed by other providers.
The system integrates seamlessly with platforms like Decipher, Qualtrics, and SurveyGizmo, requiring minimal setup. It offers full transparency, allowing users to see who was blocked and why, ensuring a clear understanding of the fraud prevention process.
Research Defender is trusted by leading research teams for its ability to enhance data quality and provide confidence in survey results. It is particularly beneficial for industries requiring high data integrity, such as market research and analytics.
- CategoryFraud Detection
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
Research Defender Fraud Prevention's Core Features
130+ signal digital fingerprinting
5 billion survey attempts scanned annually
No-Fly Fraud Suppression List
Hyperactivity detection
Integration with Decipher, Qualtrics, SurveyGizmo
Full transparency of blocked respondents
Deep session profiling
8 external reputation databases
How to use Research Defender Fraud Prevention?
Configure: Add a single redirect or code snippet
Integrate: Use native integration with Decipher
Scan: Respondents scored against 130+ signals
Monitor: View blocked respondents and reasons
Research Defender Fraud Prevention's Use Cases
- Market Research
- Analytics
- Survey Integrity
- Fraud Prevention
- Data Quality





