Rules to Stop the 8 Types of Transfer Fraud Losses

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Payments move faster than ever. Machine learning prevents fraudsters from catching up.

Payments can move from sender to receiver in a matter of seconds. But how can banks be sure that the recipients are legitimate actors and not fraudsters attempting a scam? Having machine learning rules in place can help banks detect fraud across numerous scenarios.

Download our infographic to learn how Feedzai’s rules prevent eight different types of fraudulent transactions, including:

  • Account takeovers: When fraudsters steal personally identifiable information to transfer money out of an account.
  • Phishing scams: When fraudsters use deceptive emails, phone calls, or websites to defraud victims.
  • Money mule scams: When an individual either knowingly or unknowingly transfers illegally obtained money.

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