The digital industry is becoming increasingly stringent in preventive measures against digital fraud to safeguard funds, but bad actors are getting craftier. Fraudsters are leveraging sneaky tricks and advanced software to conceal their shady activities, damage ad campaigns through apps, and deceive people for financial gain. One such tactic is device spoofing, which involves manipulating or changing a device’s identity to impersonate a real or virtual user.

Fraudsters use device detect fake devices across sessions to commit various types of fraud including account takeover, promotion abuse, and more. They mask their identity and location by faking device information and using tools such as emulators to mimic devices used by real users. Detecting these attempts to spoof across sessions is critical to avoid financial losses for companies and their users while building trust in applications and services.

Detecting and stopping device spoofing requires a robust solution that takes a holistic risk intelligence approach that examines thousands of data points, such as hardware and software configurations, behavioral patterns, and other factors, to identify suspicious activity. SHIELD’s device-first risk intelligence platform stops fraud in its tracks by analyzing all of these nuances, giving businesses actionable insights to safeguard their users and protect their brands.

Emulators are a common and growing threat that are easy to use, inexpensive, and can be found on the open market. They are designed to emulate real devices by replicating the nuances of a genuine user, such as the angle and direction of a person’s tilt when they swipe on their phone or tablet. Detecting emulators across sessions requires examining all of these data points, which are unique to every genuine device, in order to detect fraudulent behavior.