Synthetic Identity Fraud

Reduce application fraud

Check consistency between real-time location and home address

Recognize synthetic 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
Detect device spoofing

Detect emulated or compromised devices

Stop users accessing accounts from compromised devices

Detecting Synthetic Identities

Synthetic identities evade most traditional fraud detection systems. Combining both fake and stolen personal information, synthetic identities are used to open accounts for the purpose of fraud. Unlike traditional fraud there is no real customer to complain and raise the alarm.

The most effective technique to catch synthetic 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 or spoofing and delivers risk score.
Location is checked

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

Insights & Analytics

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
- API integration with any risk engine
Device
Location

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.