Project Red Hand

Device Fingerprint Risk Scoring in Oracle Adaptive Access Manager

If you’re looking for a way to detect and prevent fraud, device fingerprinting is one of the most effective ways. However, it’s not always easy.

Device fingerprint risk scoring often use VPNs or proxy servers to change their IP address at will, which makes it difficult to identify the individual device that was responsible for a transaction. For this reason, many companies have turned to device fingerprinting as a key fraud detection tool.

But device fingerprinting can’t stop every scammer, and even the most diligent merchants will continue to be targets for fraudsters of all shapes and sizes. That’s why smart businesses layer on multiple fraud prevention tools to combat fraud of every variety.

Device Fingerprint Risk Scoring

Integrated Security across the Customer Lifecycle

Oracle Adaptive Access Manager leverages patent-pending fingerprinting methods to collect and store device and location information during login process. It combines this information with user and context data collected during sessions to determine the probability that a device is being identified as a previously known device.

The results of this evaluation are used to calculate a risk score, which helps you quickly and easily assess whether a user is at high, medium or low risk for fraud. The risk scoring engine also enables you to evaluate and react to the risks of third-party integrations, such as payment providers, loyalty programs, mobile devices or apps.

Device fingerprinting can help you stop a number of fraudsters and reduce your chargeback rates. It’s a great tool for reactive fraud management and works well with other anti-fraud policies.

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