Mobile Fraud Prevention using Location Behavior

Precise location data allows us to match device visit history to each address claimed during account opening. We continuously validate this location information, so that we can detect and alert for changes in behavior that may indicate a change of address, or possible fraudulent activity.

We create a biometric signature based on each user’s unique behavioral pattern. Our statistical models create location fingerprints, across time periods and devices, that are unique to each user and that generate a private digital identity based on location behavior, not on PII.

We validate the integrity of each device by scanning numerous attributes, including app and file details, to identify attempts to produce fraudulent data. We can detect techniques like location spoofing and device rooting, which may indicate malicious intent.

During in-app actions, such as login or secure transactions, we verify how familiar the device's real time location is compared to the user's historical behavior, and assign a risk score. A high risk score is provided when events are initiated at unfamiliar or untrusted locations, which may indicate an attempted account takeover.

We secure digital transactions by matching the historical location fingerprint and the transaction history of the initiating user, to their real-time location. Transactions initiated at unfamiliar locations will result in a higher risk score. In-store transactions are secured when we match the user's real-time location with the indicated store.