Antifraud

Hi, let's see what an antifraud is and understand how it works.

To deal with the antifraud, first you need to understand what fraud is. Roughly speaking, fraud is a fraud, namely actions that are aimed at stealing money fraudulently.

Most often it is a card fraud, that is, using bank cards.

Fraud becomes possible due to the kidnapping of data by the real owner of the money.

What is an antifraud?

Antifraud is a tool to evaluate financial transactions for possible fraud. The system tries to determine this from the data it received about the client and the transaction itself.

Defining unusual behavior, using various filters, this system evaluates the risk that the transaction is not carried out by the real owner and is fraudulent and gives the command, prohibiting or allowing it, or giving recommendations for its processing manually.

There are many anti-fraud systems on the market, but mostly around 200 people use the world average, the rest are very rare. And it’s just so much easier to use ready-made, than to develop your own, especially the principles of work for all the same.

So how exactly does the antifraud system work?

Here you want to buy something in the online store. You add goods to your cart, write your address, etc. It comes to payment. You drive in the data of your (well, or someone else's, if you are a true carder) card. And here comes the antifraud.

All the data you send, and a lot of them, such as your ip, information about the OS and browser, cookies, location, billing data themselves, etc. etc. fall under hard analysis.

The anti-fraud system analyzes the information in order to decide whether to skip this transaction or to send a fuck.

The anti-fraud system processes the payment, assesses its risk, if required - launches additional verification methods (such as manual verification or additional identification of the cardholder, such as a call to the phone from the bank) and sends back its decision.

As a result, the transaction either passes or does not.

What exactly is going on inside the antifraud system?

The first stage of control - stop lists. This is the so-called coarse filter. If the transaction characteristics contain information related to the stop list, any further checks are terminated and the transaction is rejected. Usually, the card number, IP address, outlet, country are checked. Payment will immediately go fucked if the card number is on the black list as stolen, if the store itself is marked as suspicious. Also, large stores do not accept payments from certain countries (in particular, Latin America, Asia and Africa, as well as other countries, as the card fraud statistics in these countries are high, smacks of racism and what to do).

If the transaction is not blocked immediately at the first stage, then the antifraud further applies a number of its rules to assess the degree of risk.

Also, information about the transaction is supplemented with information about the cardholder, his card, the history of settlements, which are loaded from numerous bank systems and other sources. As a result, a certain point is assigned to a transaction: from “safe” (green) to “requiring additional verification” (yellow) or “extremely suspicious” (red).

How does the anti-fraud system recognize suspicious transactions?

Antifraud system rules set certain limits on payments based on such factors as:

• number of purchases by one client or one card for a certain period of time

• number of cards used by one client for a certain period of time

• number of users shopping on the same card

· The amount of one purchase on the card (or one client) for the length of time

• history of operations of a given client of a store / cardholder

Antifraud systems store and process large amounts of data using complex mathematical methods and can identify relationships that are not at all obvious, but most often you can logically understand why antifraud evaluated a transaction as suspicious)

Typical suspicious transactions for online purchases include:

• Payment from one card from different devices with different IPs

• Different countries of the one who buys, the store and the bank that issued the card

• Payment from the same device and IP address using different cards

• Repeated repeated failed attempts to pay for an order

• Using the same card to pay for orders of different accounts in the same online store

• Differences in the name and address of the online store customer and the cardholder with whom the order was paid.

Antifraud systems are constantly evolving, but carders do not stand still.

Now that you know the basics of the antifraud, it will be easier for you to understand how to make the transaction approved. Successes you in work, bro, follow new articles)