Foil
Foil is Jaywing's suite of application fraud models
Using Foil models can can increase fraud detection rates by up to 84%
Foil models are built from a combination of your unique application data and our extensive pool of confirmed fraud data, which has been shared by a syndicate of leading organisations.
By pooling data in this way, we produce powerful, highly predictive, bespoke fraud prevention models, which are built specifically to fit into your application process and integrate with your application systems. The use of our syndicate data produces more robust fraud models than typically can be achieved in-house.
- Reduce fraud losses
- Reduce false positive rates
- Optimise the number of referred applications
- Introduce significant operational efficiencies
- Reduce calls to third party products
In addition to regular Foil application models, we have now introduced some additional versions of the product:
Foil Expert
For organisations with limited fraud data, such as start-ups or those extending credit facilities for the first time, Foil Expert gets you up and running with robust fraud detection models before you get hit by fraudulent activity.
Foil 4D
Because not all application fraud is the same, Jaywing's new Foil 4D approach passes applications through one of four models to pinpoint four distinct types of application fraud:
- First Party
- Third Party
- Impersonation
- False Addresses
Foil 4D improves fraud detection rates by up to a further 25% compared with a single Foil model. And knowing the likely method of deception enables a tailored approach to your investigation.
Foil Advance
For organisations with access to CIFAS data, the overlaying of this information with Foil models adds an additional layer to your fraud detection, enabling you to develop an advanced, segmented approach, and unearth additional pockets of high-risk applicants.
For more information about how Jaywing Foil models can help reduce your exposure to application fraud please contact us: foil@weare2020.com