Fraud & Risk
Why Traditional Device Fingerprinting Doesn't Work Anymore
To help users understand their advantages and shortcomings as a fraud prevention tool, Simility looks at the evolution of device fingerprinting across four generations, examining their key features and drawbacks. The focus then shifts to examples of other data attributes which may be used as risk indicators, especially for mobile devices. Finally, two use cases, bulk account sign-ups and money laundering, are discussed to help illustrate why additional data is needed to establish relationships between accounts and ensure detection.