Early Detection of Fraud in Payment

Challenges

 

Activators fraud (books and cards) in WEB-channel and devices is a real problem that evolves in the same way as operations evolve in different networks. The multiple forms of fraud, appearing increasingly in sophisticated systems that use new ways to extract data card information, affecting customers and entities by fraudulent use.
To combat fraud you must have detection systems that can detect abnormal behaviour and adjust themselves to different operational conditions.


Approach

 

Grupo AIA provides differential mechanisms of detection and investigation based on Artificial Intelligence Technologies (Intelligent Observation Systems) with the ability to provide operational context and weigh the gravity or propensity of an activator or self-service in order to reduce the possibility of risk.
Fraud detection in the means of payment proposed by AIA is based on analysis of all parameters involved in each transaction, including its context and history, to conclude with the probability that its origin may contain risk.
The solution is set to different modules that can be attached to existing systems in businesses to assist in the early detection of fraud.

 


Benefits

 

Grupo AIA is a pioneer in the fight against card fraud, ATM payment terminals (EFT-POS), and operations on the WEB. On the one hand we have specific tools for comprehensive protection against these types of fraud, and on the other hand the technologies and methods used and the extensive experience of our team allows us to offer our clients consulting services in everything related to fraud analysis.
Our technologies and our experience enable us to provide solutions to differential qualities:

 

  • Continuous monitoring of the entire network of payment means, including ATMs, POS terminals, electronic banking, and credit and debit cards.
  • Integration of different technologies to address fraud from multiple perspectives.
  • Automatic generation of card information and customer profiles for abnormal activity.
  • Analysis for detecting points of engagement.
  • On-line detection of fraudulent transactions by dynamically generated rules.
  • Full system workflow management.
  • Modular system that fits the needs of the business.

with the ability to provide operational context and weigh the gravity or propensity of an activator or self-service in order to reduce the possibility of risk.
Fraud detection in the means of payment proposed by AIA is based on analysis of all parameters involved in each transaction, including its context and history, to conclude with the probability that its origin may contain risk.
The solution is set to different modules that can be attached to existing systems in businesses to assist in the early detection of fraud.


Success Cases

 

CASIOPEA system development for “La Caixa”