New Account Fraud
Fake or stolen identities used to open mule accounts - detected even when the device and user are seen for the very first time.
For Banks & eWallets
Industry Use Cases
With digital banking driving the world cashless, banks and eWallets build mobile-first - while facing sophisticated fraud attacks that existing prevention layers fail to address.
The fraud banks 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
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.
Internal Fraud
Employees or insiders abusing privileged access to move funds or manipulate accounts - detected through behavioral and access anomalies.
APP Scam
Authorized Push Payment scams - victims socially engineered into authorizing payments to fraudsters, flagged in real time by spotting the manipulation, not just the transaction.
SIM-Swap Fraud
Phone numbers hijacked to divert messages and override text-based authentication - identified from device and behavior signals.
Ready to Get Started?
Stop Fraud Before It Starts
Protect your users with Paygilant’s 360° AI-powered fraud detection.