New Account Fraud (NAF)
Fake or stolen identities used to open mule accounts — detected even when the device and user are seen for the very first time.
For Fintech, Neo Banks & eWallets
Industry Use Cases
With Fintech driving the world cashless, neo banks and eWallets build mobile-first — while facing sophisticated fraud attacks that existing prevention layers fail to address.
The fraud fintechs face,
covered end to end.
Fraud is on the rise, and its most sophisticated forms strike in the pre-transaction phase — where traditional fraud prevention layers see nothing.
Paygilant analyzes every stage of the user journey, from registration to cash-out, to stop each attack pattern before money moves.
Account Takeover (ATO)
Credentials stolen through phishing, malware, or social engineering — caught before unauthorized transactions cash out the account.
Transaction Fraud
Stolen cards and payment methods used for fraudulent payments — flagged in real time, even on instant transfers.
Cross-Bank Fraud
Blended attacks moving funds from high-value accounts into fake accounts across banks — connected and blocked end to end.
Sign-up & Coupon Fraud
Fake accounts created at scale to abuse sign-up rewards and promotions — stopped at registration, before perks are drained.
SIM-Swap Fraud
Phone numbers hijacked to divert messages and override text-based authentication — identified from device and behavior signals.
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Stop Fraud Before It Starts
Join thousands of businesses protecting their users with Paygilant’s 360° AI-powered fraud detection.