With online payment transactions now moving faster and more efficiently than ever before, how are they made safe for everyone to use? By looking at how big data is used across different industries, we can see how this has helped maintain a secure infrastructure that works smoothly in real-time.
Legacy payment systems have traditionally used rigid and binary payment rules. This means that issues such as the billing address not matching the current IP were used to decline transactions. That has changed to a more sophisticated approach where data engines are used to aggregate data from a variety of sources.
This means that machine learning models can instantly generate analytics that take into account factors such as the historical user velocity and the network latency delay. In this way, genuine users get a frictionless experience where their payment style is automatically taken into account.
Adaptive models of this type have become popular in several areas, such as cross-border e-commerce, digital wallets, and the on-demand economy where instant payments are needed for high-frequency but low-value transfers.
In terms of igaming payment options, operators need to combine speed with security, as these deal with a high volume of transactions and often large values. To do this, they need to instantly check the details from a variety of payment methods, such as bank cards, e-wallets, or bank transfers. This brings in a variety of fraud prevention approaches, such as device fingerprinting and pre-authorization mode, with the know your customer (KYC) process and constant monitoring used to help operators stay in control.
One of the most critical moments comes when new players look to claim a welcome bonus. These offers are often extremely generous, giving newcomers bonus funds and free spins to use after making their first deposit. However, this means that the operators need to be careful not to give the bonuses to players who set up multiple accounts or otherwise attempt to claim an offer that they aren’t due. This is why they need to immediately check the payment details against any other accounts linked to the same method.
While processing payments efficiently involves seeing where the money comes from, the way that the details are input is now also important. Advanced financial data platforms map the user interaction with behavioral biometrics when they’re checking out a purchase.
This allows them to see elements such as the keystroke dynamics and touchscreen metrics to understand whether it’s a human user or a bot. It’s even possible to cross-reference delays on transactions through a mobile device to flag potential cases of the user being obliged to go through with a payment scam.
All of these different methods we've looked at have helped to make online payments fast and secure, even when the customer doesn't see all the hard work that's going on in the background to calculate and assess the data.