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Fraud Protection | Risk Check Scoring
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PSC scoring | Evaluate data & give recommendations for action
Within the plausibility checks we check whether the data can be formally and logically correct. As part of the scoring process, we analyze whether the data can draw conclusions about the probability of failure. of the payment. A large number of checks are also available for this purpose.Result and recommendation for action | the traffic light
No matter which combination of checks you decide on - as a recommendation for action you will get always a traffic light color: red, yellow or green. The calculation is based on a mathematical algorithm developed by ourselves, which is based on the is based on the checks described above.single or combined | the scoring checks
Bonit check | risk check scoring
What is the user's credit rating and what is the probability of default?Details about credit assessment | scoring
blacklist check | risk check scoring
Has the user already caused payment errors in the past?Details about blacklist check | scoring
premium name check | risk check scoring
Is the user known at the given address?Details about premium name check | scoring
IP check | risk check scoring
Allows the IP address to be used to identify the user's intentions?Details about IP check | scoring
geo checks | risk check scoring
Is there any contradictory information about the user's location?Details about geo checks | scoring
smart checks | risk check scoring
If the user is visible on the website?Details about smart checks | scoring