The Identity-Credit Paradox

Most identity fraud is never classified as identity fraud. It appears as credit loss, chargebacks, first-party default, or suspicious activity, exposing the limits of traditional KYC models against the new scale of AI-generated fraud. This is what this report explores: why the market is shifting from isolated verification models to identity intelligence networks at scale.

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Key Findings

• US$7 billion in losses from account opening fraud in 2025
• 1 in 5 biometric fraud attempts already involve deepfakes
• 48.3% of fraud cases in Latin America involve synthetic identities
• Only 7% of fraud prevention professionals say they are highly prepared for AI-driven fraud
  

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What You’ll Find in This Report

• Why the traditional 1:1 KYC model is no longer enough
• The biggest blind spots in today's identity verification systems
• The shift from isolated models to network-based identity intelligence
• How generative AI changed the economics of fraud
• The hidden relationship between identity fraud and credit loss