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With every visit fraud prevention solution gathers software data to create strong fingerprints for each user. By using them and combining data from all previous visits, we can recognize new and returning users. Check below your detailed history visit.
Our fraud prevention solution is now able to detect Signals - technical indicators of unusual or suspicious characteristics of a given session. The technology was created by reverse-engineering of fraudsters' tools to learn every detail of their techniques and increase fraud detection.
Below we present a sample of Signals we are able to detect.
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Interact with your computer or mobile device and we’ll show you what behavioral Signals our fraud prevention solution picked up. Let us prove to you how effective our solution can be in detecting suspicious behaviors.
Try our login authentication module
To authenticate logins we use previously gathered behavioral data, ML Models and behavioral biometrics. Play with the module to test its accuracy.
- Type in made-up email and password to enroll.
- Re-enter them to train models and be verified with behavioral biometrics.