Detect and stop fraud from account takeovers, bonus abuse, payments, digital onboarding and more. With our SDK for mobile device fingerprinting and fraud prevention, you can instantly identify the unique characteristics of a device at any stage of user interaction. This information is used to build a device profile and cross-reference against our global database of billions of devices, helping you stop fraudsters quickly and effectively.

SDK for mobile device fingerprinting and fraud prevention collects and analyzes a variety of attributes and characteristics, including hardware details, software configurations and browser settings to establish a globally unique device ID that can be used to identify the device no matter what device the user is using. This information is collected in the background, so there’s no need for additional app permissions. It’s also not susceptible to user manipulations such as screen capture or screen overlays, which make it a powerful and robust tool in protecting your business from fraud.

Step-by-Step Guide to Transaction Risk Scoring: Improve Payment Security

Fraud detection and mitigation is key to delivering a seamless experience for your genuine users, so you can protect them from fraudsters while enabling a smooth, frictionless transaction. By leveraging fingerprinting, you can easily and effectively implement machine learning algorithms that prevent fraud, bots and suspicious behavior.

Integrate device profiling into your app using our SDK for Android or iOS, and call the risk assessment APIs to perform a risk score on a session. To avoid requesting additional permissions from your users, only send the device attribute data to Microsoft when it’s needed for a risk assessment—for example, when a new session is being created or an operation like signing in or logging out takes place.