How Does Ayda Detect Fraudulent Participants?

Ayda has embedded fraud detection built directly into the payment flow to help researchers identify and prevent fraudulent or suspicious participant activity in real time. 

The platform analyses over 30 behavioural and transaction data points to detect unusual patterns and reduce the risk of low-quality or fraudulent responses. 

Ayda’s fraud detection checks may include:

• Suspicious IP address detection
• Duplicate identity checks
• Abnormal participant behaviour
• Unusual payment activity
• Failed validation checks
• High-risk transaction patterns
• Real-time behavioural analysis
• Bank account verification

Researchers can also configure their own fraud detection rules, metrics, and thresholds to match their project requirements. 

By combining fraud prevention with global incentive payments, Ayda helps researchers:

• Protect the integrity of their research
• Reduce fraudulent submissions
• Lower financial risk
• Improve participant quality
• Maintain confidence in research data
  
  

Ayda’s fraud prevention network continuously learns from participant behaviour across the platform, helping create smarter and more effective fraud detection over time.