ABOUT FIN

FIN is a versatile counter fraud intelligence system with an analytical capability.

 

FIN is a private sector version of an enforcement database populated with very high quality data about confirmed fraudsters the interrogation of which is an aide to reducing the risks of known criminals gaining access to an organisation or its funds.

 

FIN is not a verification tool which would seek to either check a person’s identity or a transaction against third party data. FIN is a powerful fraud prevention intelligence module which boosts the capability of your verification or acceptance processes by recognising those identified as having been involved in criminal activity before they interact with you to disastrous effect. As an intelligence system FIN can easily be adapted to any industry or data set through the use of modules. Current modules cover transactions and supplier or membership application vetting.

The Benefits of FIN

Has your organisation been a victim of crime? If you could have avoided the person that committed the crime because you had been able to identify that they had already committed a similar crime in the past wouldn’t it have made life a lot easier?

The issue is that someone who commits a crime such as fraud against you, is just as likely to commit a fraud against others in your industry, and probably already has done so.

FIN is a legal way of sharing confirmed crime data within your industry through an independent and secure system that significantly reduces the risks and improves ‘herd immunity’. But FIN goes a lot further in the benefits it gives you:

  • Visibility of confirmed fraudsters operating in your business before they can act against you;

  • Live data that can be relied upon to be accurate and of evidential quality;

  • Anonymous data attribution;

  • Identification of new methodologies, practices and fraud occurrences in real time;

  • Automated management of the data;

  • Strong analytical and reporting functionality;

  • Organised Crime Group mapping and reporting to the police.

© Fraud Intelligence Network 2020