Device fraud risk signals using fingerprinting, device fingerprinting is an ensemble of information about the configuration of software and hardware on a specific remote device used by a user. By analyzing this data, businesses can create a unique ID for each device that allows them to identify and recognize patterns that are characteristic of fraudsters and legitimate users alike.

This technology provides critical insights about potential fraudsters and helps merchants prevent fraudulent activity at the point of sale. By evaluating data points like IP addresses, browser history, operating system settings, plugins and more, device fingerprinting can detect anomalies in customer behavior that signal a fraudulent attempt.

How to Stop RDP Proxy Abuse with Device Fingerprinting

The problem is that fraudsters have become more sophisticated in their tactics, and as a result, device fingerprinting has lost some of its utility. For example, a single user can use multiple devices to perform an account takeover (ATO), and fraudsters have found ways to disguise their devices with tools like VPNs, proxy servers and incognito browsers.

For this reason, it’s important for businesses to evaluate new risk signals to stay ahead of the curve when combating fraud. To do this, they should consider deploying a comprehensive solution that uses the power of machine learning and artificial intelligence to analyze more than just the standard identifiers associated with a device, such as IP address, browser history, and other device attributes. The more in-depth the analysis, the better equipped you are to stop fraudsters from using devices to commit a wide range of different scams.