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How to detect shell and shelf company fraud before it hits your bottom line

Standard KYB checks weren’t built to spot synthetic entities and layered fraud schemes

How to detect shell and shelf company fraud before it hits your bottom line

How to detect shell and shelf company fraud before it hits your bottom line

Shell, shelf, and synthetic companies are among the most sophisticated fraud tools used today. They slip through traditional KYB systems, opening the door to stolen funds, regulatory fines, and reputational damage.

Introducing: Using data to defend against shelf and shell companies

This guide explores how banks, fintechs, marketplaces, and other companies can embrace full-lifecycle KYB programs to spot fraud signals earlier — without slowing down legitimate customers.

Why this guide matters now:
Recent changes to FinCEN’s reporting requirements have made it harder to verify who really owns and operates a business. Fraudsters are exploiting this blind spot by layering synthetic identities with dormant or fabricated companies — and many KYB systems can’t tell the difference.

Companies using the layered data strategies in this guide are spotting fraud earlier, reducing false positives, and protecting against losses before they happen.

Inside you’ll learn:

  • What makes these entities dangerous — and how they work together to bypass KYB
  • Why registration data alone won’t flag fake operations or hidden ownership
  • The data signals that fraudsters can’t fake — from payroll to web presence
  • How to monitor post-onboarding behavior to catch fraud in motion

Download the guide and upgrade your KYB defenses.

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