Fraud Prevention
Risk Management

Preventing fraud committed using payment instruments such as cards, mobile devices or e-commerce / m-commerce applications. A large database of suspicious behaviour patterns. User-defined rules and patterns. Integration with authorisation systems. Generating and handling alerts that indicate possible frauds. Creating hot lists. Providing market players with reports on threats and risks.

A large database of suspicious behaviour patterns with available user-defined rules based on predefined algorithms

Near online monitoring of fraud attempts

Online monitoring, i.e. analysing a transaction that may affect the response of the authorisation system (blocking, online monitoring of completed transactions in order to arrest the offender)

Advanced fraud scoring, i.e. computing the probability that a transaction is a fraud attempt

Automatically generated alerts indicating suspicious behaviour patterns with defined alert handling priorities.

Managing a team of operators

Internal reporting and reports for external institutions (e.g. TC40/SAFE for bankcard associations)

Alert generated when a case description contains information about suspicious operations completed using a card / payment instrument; the alert contains in particular the following details:

  • Is it being currently analysed
  • Has it been classified as a fraud
  • What is the amount of the fraudulent transaction
  • Have deposited funds been identified and frozen to prevent possible fraudulent transactions
  • A priority mark used to define the sequence of cases to be handled
  • What is the amount and number of suspicious transactions
  • Who is in charge of the case

 

Managing the alert handling process carried out by operators:

  • An analysis of customer account details, contacting the customer
  • Blocking the card / payment instrument, temporarily or permanently
  • Launching the customer monitoring process by entering the customer’s card / payment instrument in the hot list
  • An analysis of operations completed using the customer’s cards within a freely definable time interval (with an available option of monitoring operations completed using other cards held by the same customer)
  • An analysis of operations completed using devices in a freely definable time interval
  • Marking transactions as actual frauds
  • Taking notes for alert purposes and recording them during problem analysis
  • Changing the status of an analysed alert
  • Classifying alerts – if identified as fraud, determining loss / savings amounts
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