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Case Study

Fintech Blocks 90% of Fraudulent Accounts and Saves Critical Partner Relationships

A leading fintech platform was facing escalating fake account creation that threatened both platform integrity and key business partnerships. Sophisticated attackers were exploiting the registration flow using email-based tactics specifically engineered to evade traditional security controls.

90%

fraudulent email addresses blocked

70%

caught by domain age controls alone

0

added friction for legitimate users
  • Low-and-Slow Account Creation: Fraudsters created fake accounts gradually over time to stay below volume-based detection thresholds.
  • Email Enumeration and Tumbling: Attackers generated systematic email address variations and alias techniques to create multiple accounts while appearing legitimate to conventional fraud tools.
  • Domain Exploitation: Bad actors registered new domains specifically for abuse, using recently created addresses that looked valid but carried high fraud risk – a tactic existing controls weren't built to catch.
  • Arkose Email Intelligence Added to Existing Stack: Customer gained multi-vector email risk analysis that evaluated formation patterns, gibberish handles, enumeration sequences, domain age and velocity signals in real time.
  • Domain-Based Risk Controls: Domain intelligence assessed registration dates and ownership signals, flagging the newly registered domains fraudsters relied on as a primary attack vector.
  • Validated via Fraudulent Session Testing: Before full deployment, the customer tested Email Intelligence against sessions identified as fraudulent and confirmed effectiveness.
  • Integrated Multi-Layer Defense: Email Intelligence operated in concert with Arkose Titan's bot detection, device identification, behavioral biometrics and IP intelligence for comprehensive coverage across attack vectors.
”
The multi-layered approach of Arkose Labs gives us visibility we've never had before. Email Intelligence fills a critical gap in our defenses against sophisticated fraud attempts.
— Security Team Lead
  • 90% of Fraudulent Email Addresses Detected and Blocked: The vast majority of fake accounts were flagged before they could be created, stopping abuse at the source.
  • 70% Caught by Domain Age Controls Alone: The single highest-impact signal was domain intelligence, reflecting how heavily attackers relied on newly registered domains.
  • Partner Relationships Protected: By shutting down the fraud pipeline overnight, the company preserved trust with key business partners whose relationships were at risk.
  • No Friction Added for Legitimate Users: The detection layer operated silently for good users, maintaining a seamless registration experience throughout.

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