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The 2021 Guide to Card-Not-Present Fraud Prevention

Jul, 12, 2021
Pavlo Sidelov

The popularity of online payments is a double-edged sword. While it helped fuel the growth of the financial sector, it also brought with it a never-before-seen amount of payment fraud. Today, card not present (CNP) credit card fraud is by far the most popular kind of payment fraud out there.

If you’re a bank or a payment provider, then in many cases you’ll be the one who will have to swallow the cost of payment fraud via chargeback fees, investigation fees, as well as government fines. The costs associated with fraudulent payments can be so large that they may force your company to shut down.

Read this article to find out what CNP fraud is and how to protect yourself and your clients.

Card Not Present Fraud Definition

So what is CNP exactly? As we mentioned in our article on preventing payment fraud, card not present fraud is a type of transaction fraud that does not require the presence of a physical debit or credit card during the criminal act.

Preventing payment fraud

How to Prevent Payment Fraud: Solutions for Banks and Payment Processors

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In this case, a card not present transaction is any transaction that takes place over the internet or over the phone.

For card-not-present fraud to occur, all a criminal needs is the victim’s credit card number, name, three-digit security code (CVV), and the expiration date.

 

Why Is Card Not Present Fraud So Difficult to Deal With?

One of the most frustrating things about CNP fraud is that there is very little a bank or a payment processor can do to prevent the falling of sensitive client data into unscrupulous hands.

Customers value convenience and low payment friction above all else. And, with the safety net of chargebacks, they are often very lax when it comes to the security of their credit card data. This means that breaches are close to inevitable.

Once that payment information is out there, it is out there for good, often being sold and resold to several criminal outfits.

And the customer might allow several fraudulent payments to take place before blocking their card and issuing a chargeback.

This is because, in many cases, the victim won’t realize that any funds have been stolen from them until they see their bank statement. Which can happen weeks (or even months) after the first fraudulent payment occurs.

How Do Criminals Obtain Credit Card Information?

Fraudsters can obtain the payment information of their victims in a variety of ways. The most common of these include phishing attacks and database breaches.

After the attacks are carried out, the data is typically sold off to other criminal outfits on the dark web.

These criminals, in turn, will be the ones carrying out the actual CNP fraud.

 

Who Suffers Most From Card Not Present Fraud?

When card-not-present fraud occurs, it is not the direct victim that bears the loss. The sum they lose is typically refunded by the payment provider, the bank, or the merchant.

On top of this, credit card companies may subject your business to additional chargeback fees and investigation fees.

Card Not Present Fraud Statistics

As of 2021, CNP fraud is 81 percent more common than card present fraud. While card-present fraud is much less prevalent now thanks to the introduction of chip and PIN technology, CNP fraud is only becoming more and more widespread year after year.

What’s even more worrying is that gaining access to stolen credit card data is only becoming easier for criminals as time goes by.

Breaches of sensitive payment data, such as credit card numbers and e-retailer login credentials, are becoming more and more widespread.

According to an industry report, the number of stolen credit cards available for sale on the dark web has increased by an astonishing 153% last year alone.

And according to a study by Juniper Research, retailers will lose 130 million US dollars due to CNP fraud in 2023.

 

4 Steps to Better CNP Fraud Prevention

There are hundreds of methods using which banks and payment processors can prevent card-not-present fraud.

While no do-it-yourself approach can offer you the protection of dedicated CNP fraud protection software, the 4 step process listed below can be a good starting point for modernizing the fraud prevention system of your bank or payment processing company.

CNP Fraud Prevention

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Step 1: Embrace Improved Data Collection Techniques

Whether you run a traditional bank or an e-payment system, more is always better when it comes to the amount of data you have about your customers.

Always make sure that you log not just the bare minimum regulator-required information about your clients, but also gather additional pieces of data that will help you understand whether they are actually the ones using the account. 

Some people in marketing might tell you that introducing any additional friction into the client registration process is unacceptable. There is some truth to this. Introduce too many steps into a procedure and some users will undoubtedly go to a competing service.

So what do you do in this situation?

How to Gather Client Data Without Introducing Friction

Data enrichment is the best way to collect additional data about your clients without introducing any additional friction. Put simply, data enrichment is the process of taking separate data points from your clients and using them to gain additional information about your clients thanks to a separate service.

You can use your user’s name and an address to see if they have been involved in any fraud. Or you can take their email address and see whether it’s connected with any real social media accounts. Or if the IP address associated with your client is seemingly used by dozens of other credit card holders.

Gaining this additional information helps your team (and your automated systems) notice discrepancies and suspicious activity where they wouldn’t otherwise see it.

And, as data enrichment is completely invisible to the client, it introduces zero friction into the process.

Step 2: Monitor All Unusual Behavior

Once you have enough information about your clients and their normal behavior, you can create rules or integrate AI-based fraud detection schemes to help protect your clients from payment fraud risks. 

The behavior of criminals almost always follows certain patterns that can signal payment fraud. 

By turbo charging your security solutions with enriched data points, you can make them much more accurate. They will now be capable of identifying fraudulent transactions that would have flown under its radar before and recognizing genuine transactions as such in places where they could’ve flagged them as potentially malicious before.

Card Testing in Credit Card Not Present Frauds

One of the most common fraud-related payment patterns are micro transactions. Before attempting to make a large purchase, the fraudsters will typically test the card with a small amount of money to see if the credit card data they purchased is correct or if the associated account has any cash on it.

Perhaps they will sign up for a $0.99 trial of a subscription service or make a minimal payment in a mobile game.

If this micro transaction is a success, the fraudsters will then typically attempt to use the stolen card to buy a much more expensive item.

Identifying card testing immediately is a great way of flagging fraudsters before they are able to do any serious damage by making a big payment.

 

Step 3: Ask For Additional Authentication

Having a large amount of information, you can accurately assess which transactions are of high risk.

Whenever you find this to be the case, don’t be afraid to ask the user for additional authentication steps.

If you’ve done everything correctly up to this point, the vast majority of transactions falling into this group will be fraudulent.

And if, despite all of your efforts, any legitimate users have fallen into this group by mistake, then they will have no difficulty going through these additional steps. 

Heavy KYC

If your systems are very certain that the transaction is fraudulent, you can ask the user to provide a lot of Know Your Vustomer information, so that you can be sure without a shadow of a doubt that the transaction is legitimate before letting it go through.

Light KYC

On the other hand, if your systems have detected a fringe case that only barely triggers your fraud detection algorithms, then you can opt to ask for fewer and simpler identity verification methods from the user.

Step 4: Stick to Data Protection Best Practices

Lastly, nothing will be able to protect you from fraudulent payments if your company is the main source of them.

One of the best things you can do for your business is to do your best to protect the payment information of your clients.

Having the credit card information of a large portion of your client base compromised is both a PR and a chargeback nightmare.

So make sure your security team stays on top of all of the latest security rules and standards. 

For example, many security experts will tell you to use state-of-the-art 256-bit Secure Sockets Layer (SSL) encryption to encipher all of the sensitive payment data you receive from and transmit to your clients. Price-wise, upgrading from 128-bit to 256-bit SSL encryption is rather inexpensive, so there’s no reason not to do it.

CNP Fraud Prevention With Machine Learning

If the steps listed above seem complicated, time-intensive, and expensive, it is because they are.

Developing your own custom CNP fraud prevention solution can require seven digit investments, a large IT crew, and up to several years of development time.

If you’re a C-level employee at PayPal or JPMorgan Chase, then these costs are easy enough for you to accept.

But if you’re working at a small to mid-sized financial institution, however, then this might not be realistic.

This is where SDK.finance’s state of the art, AI-based CNP Fraud Prevention and Anomaly Detection software comes in.

By spreading the costs of development between dozens of clients, we are able to offer our B2B customers bleeding edge payment fraud detection and prevention services for a price so low that, in most cases, the purchase of a license will pay for itself via prevented chargebacks in less than one financial quarter.

How Does SDK.finance Card-Not-Present Fraud Prevention Work?

SDK.finance CNP fraud detection and prevention software works using a sophisticated set of AI-driven algorithms that have been trained on billions of real-world transactions.

Our software gives each transaction a fraud score by verifying customer information, their card numbers, CVVs, IP addresses, geographical locations, and a vast slew of other data points to rate the likelihood of the transaction being fraudulent.

It monitors fraud key performance indicators (KPIs) by checking order approval and decline rates, as well as chargeback rates.

And it detects transaction anomalies by monitoring every account’s activity in real time using specially-trained machine learning algorithms.

SDK.finance Card-Not-Present Fraud Prevention Benefits

Listed below are just a few of the key benefits of using SDK.finance’s CNP fraud prevention software:

  • Fully automated, real-time detection allows you to immediately respond to suspicious activity and block fraudulent transactions before they can do damage to you and your clients.
  • Self-improving algorithms use the real-world data they get during their operation to recalibrate themselves, becoming better and better as time goes on.
  • 99.9% filter accuracy frees up the time of your security team to focus on the cases that truly require their attention. This also reduces sales friction by minimizing false positives and false declines while safely blocking the transactions of fake actors. 
  • Affordable pricing allows you to get stellar protection without any unnecessary expenses. The savings you get from the prevention of chargeback and investigation fees will pay for the cost of our services in just a few months.

Conclusion

Card-Not-Present fraud is the most prevalent method of payment fraud today.

CNP fraud is 81 percent more common than traditional card-present fraud, and the gap between the two is only likely to rise in the future.

According to a Juniper Research projection, in 2023 retailers will lose an astronomical 130 million US dollars CNP fraud in 2023.

Protecting your business from chargebacks and fines associated with CNP fraud can be expensive. Thankfully, third-party solutions like SDK.finance’s very own CNP Fraud Prevention can give you all of the benefits of a custom, AAA-tier system for a fraction of the cost.

Want to find out if CNP Fraud Prevention is right for you? Contact us and book a demo today!

 

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FAQ

What is CNP?

Card not present fraud is a type of transaction fraud that does not require the presence of a physical debit or credit card during the criminal act.

How does SDK.finance card-not-present fraud prevention work?

SDK.finance CNP fraud detection and prevention software works using a sophisticated set of AI-driven algorithms that have been trained on billions of real-world transactions.

Who suffers most from card not present fraud?

When card-not-present fraud occurs, it is not the direct victim that bears the loss. The sum they lose is typically refunded by the payment provider, the bank, or the merchant.

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