Incognia Location Spoofing Detection is a device and location intelligence product designed to identify users who manipulate location data or tamper with devices to commit fraud or abuse platform policies. The product analyzes the integrity of each device to determine whether it is providing falsified data to the client application. It identifies devices that are rooted or jailbroken, running GPS spoofing applications, or being emulated — all of which represent elevated risk vectors that can enable fraud and policy abuse to go undetected. Core detection capabilities include: - GPS spoofing detection via analysis of device-reported location data - Rooted/jailbroken device identification - Emulated device detection - App tampering detection Beyond detection, the product supports proactive fraud prevention by watchlisting devices, accounts, and locations associated with identified spoofing activity, enabling organizations to recognize and block repeat offenders. The product is designed to address use cases such as promotion abuse, player collusion in mobile gaming, fraudulent access in food delivery and ride-hailing platforms, and broader trust and safety policy violations. It classifies devices into risk tiers (e.g., High Risk, Low Risk) based on the presence or absence of detected manipulation signals. Incognia's solution is deployed as an SDK integrated into client mobile applications and is used by organizations in sectors including food delivery, mobile gaming, ride-hailing, fintech, and peer-to-peer platforms.