A device fingerprint service to detect fraud can help prevent false positives and minimize chargebacks by identifying a user’s risky behavior. Using data points like operating system, screen resolution, and fonts, the technology can recognize devices that are fake or have been used to engage in malicious activities. Additionally, it can identify bots, automated behavior, and other high-risk signals that indicate a user is likely engaging in fraudulent activity.
As fraudsters learn how to evade detection, they are forced to try new tactics and strategies. This includes clearing their cache, switching browsers, using private or incognito mode, VPNs and proxy servers, and virtual machine environments. While these are great ways for fraudsters to cover their tracks, they can also relay important signals to fraud management teams.
Choosing a Device Fingerprinting Service to Detect Fraud
A strong device fingerprint service identifies the unique hardware and software settings of each individual device to create an online identity for each user that can’t be masked. It is then able to link this ID to other fingerprints to establish a person’s true identity. This can then be correlated with other transaction data, such as IP addresses, to identify potential bad actors or other suspicious behavior. This allows businesses to provide an experience for users that is more secure and protects their identities. This can be applied across a variety of use cases including signup, login, and payment flows that traditional solutions often fail to detect. It can also be used to improve product efficacy, better understand logged-out traffic, and serve personalized content for end users.
