Mobile device fingerprinting creates a unique profile for mobile devices based on attributes such as the device model, operating system, settings, installed applications, geolocation, and IP addresses, as well as other characteristics. Organizations can monitor whether a login from a device is consistent with a user's usual preferred devices, or when one device is being used for multiple fraudulent accounts or fraud attempts.
Use case/ examples of mobile device fingerprinting
Multi-account fraud detection: Identifying when a single device is used to create multiple fraudulent accounts, or make multiple fraudulent transactions, across platforms.
Account takeover prevention: Flagging suspicious login attempts when the device fingerprint is not a match for previous authenticated sessions or matches a device known to have been used in previous account takeovers.
Risk scoring: Assessing transaction risk by analyzing a device's characteristics and comparing them against known fraud patterns.
