Synthetic Identity Theft | Synthetic Identity Fraud

Reduce application fraud

Check consistency between real-time location and home address

Recognize synthetic and stolen identities based on location behavior and stop fraudsters opening fake accounts
Catch fraudsters at login

Check current location with location behavior history

Stop fraudsters accessing accounts using fake IDs

Detecting Stolen and Synthetic Identities

The most effective technique to catch synthetic and stolen identities is by detecting anomalies in location behavior, including location spoofing, mobile emulation and inconsistencies between provided addresses and user location behavior.

Using location behavior and device intelligence Incognia is able to provide advanced anomaly detection of device and location behavior, indicating high risk of fraud.

User creates account

User enters credentials. either to create an account or to login to an existing account. Is the user real or fake?
Device is checked

Incognia checks the user’s device for emulation, location spoofing, and against the device watchlist.
Location is checked

Incognia matches the user’s current location with the user's location behavior history to assess risk and deliver risk score.

Location and Device Intelligence

We make it easy to view and access risk assessment details, with supporting reason codes, in summary and detailed view dashboards.

Summary and detailed views of risk assessments
Export feature for in-depth reporting
Stand-alone fraud detection, or integrate our APIs with any risk engine

Designed for developers

Fast SDK integration & easy-to-use APIs

We provide a lightweight mobile SDK and intuitive APIs to make it easy for you to add location and device intelligence to risk assessments throughout the user journey.