Device Fraud Detection
Device fraud detection uses a combination of device details, network intelligence and identity resolution to identify fraudulent activities, flag them and thwart fraudsters. It detects a variety of sophisticated attack techniques including emulators, bots, cloned apps, GPS spoofing and more to uncover fake accounts, fraud rings, promo and referral abuse and collusion.
On-Device Fraud
This involves fraudsters using stolen identities to create a Frankenstein account by combining different pieces of real information into one synthetic ID. Fraudsters then use this account to commit fraud such as account takeovers, unauthorised money transfers, credit card skimming and other attacks that can cause significant financial loss and reputational damage. It also exposes the victim to heightened levels of anxiety, stress and fear for their privacy and security.
In order to evade fraud detection measures, bad actors employ various methods including device spoofing and factory resets. Device fingerprinting is an effective way to combat these threats by profiling real devices to make it more difficult for fraudsters to spoof their identity. It looks for inconsistencies such as logins that don’t match behavior and changes to MAC addresses, IMEI numbers or other device IDs that can suggest spoofing.
In addition, it leverages a global network of Smart Signals that provide historical insights on suspicious behavior from a user’s past online activity to improve risk assessment. This is particularly useful for Android users who are often able to bypass traditional IP and browser-based detection due to their ability to change their device identifiers or browser settings.…