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Guide: Fraud Prevention across the Research Lifecycle

Fraud Prevention across the Research Lifecycle

Download the guide to learn how to: 

  • Prevent fraud before surveys begin
  • Detect suspicious behaviour in real time
  • Validate data quality after fieldwork closes
  • Reduce fraudulent participation and improve confidence in insights
  • Build stronger end-to-end fraud prevention with ekas

Fraud is no longer confined to isolated survey abuse. Bots, duplicate identities, VPN masking and AI-generated responses now threaten every stage of the research process. Protecting data quality requires a connected, lifecycle-based approach.