With a fusion of intelligent algorithms and cybersecurity expertise, Xabyte redefines fraud detection in research
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Say Goodbye to Copy-Paste Responses
Automatically flags and filters out copy-paste behavior in prescreeners
Block Auto-Fill & Fake Participation
Identify and terminate bot-like responses using advanced detection algorithms.
Instantly Spot Speeders
Auto-detect responses completed under minimum time thresholds and disqualify them.
Eliminate Location Mismatches
Detect discrepancies between declared and actual locations — and disqualify instantly
No Repeat Participants
Automatically exclude respondents who have participated in previous or similar studies.
Catch Manual Fraud Attempts
Terminate users who delete cookies in an attempt to retake or manipulate surveys.
Limit Surveys per IP
Restrict multiple entries from the same IP to maintain sample uniqueness.
Verify Before You Qualify
Check respondent emails and domain origins during prescreening to prevent fake entries.
Stop Hidden Identities
Disqualify participants using VPNs or proxies to conceal true location or identity.
Block Data Center Access
Prevent access from virtual desktop environments or data center-based fraud tools.
Ensure Real Human Interaction
Use motion-based verification to confirm live and active participation
Detect Spam, Gibberish & Abuse
Automatically flag poor-quality or abusive open-ended responses — including gibberish, grammar issues, and duplicates.
Market is full of fraudsters – Hit them hard with FraudCops
Fraud in market research is no longer rare — it's rampant. Estimates suggest that 70–80% of survey responses are fake, duplicated, or bot-generated.The real concern? While some still question how deeply this affects outcomes, one truth is clear: bad data = bad business.
Recent studies now link fraudulent respondents to billions in corporate losses, reduced campaign ROI, and misguided strategies.Xabyte’s Fraud Cop brings AI-powered fraud detection to the forefront — helping you clean your data before it derails your decisions.
