"Incognia has replaced our internal device id with a hyper-robust and reinstall-proof one. Their device intelligence technology has given us a new layer of emulator detection and, along with Incognia's device id, has significantly impacted chargeback and cancellation fraud reduction.”
To solve these challenges, the delivery app needed to implement a solution that could 1) detect GPS spoofing and 2) flag high risk couriers based on location, account and device information to stop repeat offenders. The company chose to leverage two features of Incognia’s location identity solution at different moments of the user journey. It decided to call the Incognia API at login, to check the device against the Incognia watchlist and re-recognize courier devices, and just before a courier accepts a delivery in order to detect GPS spoofing.
After integrating the Incognia SDK and risk scoring APIs, Incognia analyzed one month of location data from 1.3M couriers. Incognia determined that approximately 3% of couriers accessed at least two accounts and ~1% of all couriers were spoofing their location. After implementing Incognia, the delivery app saw a significant reduction in gps spoofing and chargebacks associated with mPOS fraud. Incognia’s location accuracy and device fingerprint ensured that bad actors were identified and the false positive rate remained low, preventing fraud before it happened.
During the one month testing phase, Incognia reduced fraudulent activity by 53%. Today, after the full Incognia implementation in March 2022, and several months of production results, Incognia has delivered a 97.5% reduction in social engineering scams, like mPOS fraud, a 90% reduction in ATO fraud, and an 84% reduction in fraud losses.
