Payment Fraud Prevention: Best Practices

Key Takeaways:

Fraud Takes Many Forms: Payment fraud can involve credit cards, debit cards, Automated Clearing House (ACH) transfers, real-time payments (RTP), peer-to-peer payments, account takeover, and card testing. Merchants should identify which fraud types affect their payment mix before choosing controls.

Layer the Controls: Address Verification Service (AVS), Card Verification Value (CVV), velocity checking, risk scoring, account authentication, EMV, and 3-D Secure address different fraud signals. No single tool is sufficient for every merchant or payment method.

Balance Fraud and Friction: Risk controls can block fraud but may also interrupt legitimate customers. Merchants should calibrate authentication, manual review, and decline thresholds around their own fraud exposure and customer experience while limiting unnecessary checkout friction.

Use Chargeback Feedback: Chargeback analysis can reveal repeat offenders and emerging fraud patterns. Merchants should connect post-transaction dispute data with their prevention systems so fraud controls can be adjusted based on actual outcomes.

Measure Effectiveness: Merchants should track key performance indicators (KPIs) such as fraud detection rate, chargeback ratio, and cart abandonment, then conduct recurring audits and benchmark against comparable businesses.

Payment fraud involves using deception or unauthorized access to obtain money, goods, or services through a payment. For merchants, it can involve stolen card details, compromised customer accounts, or instructions that trick staff into sending money to a fraudster. Effective payment fraud prevention starts with understanding how those schemes affect the payment methods a business accepts.

In the 2026 Global eCommerce Payments & Fraud Report, surveyed merchants reported losing an average of 3.5% of annual e-commerce revenue to payment fraud. The costs can also include lost inventory, investigation time, and fees. Merchants need controls that detect suspicious activity while allowing legitimate customers to complete their purchases.

Types of Payment Fraud

Payment fraud can take many forms, each posing unique challenges to businesses. Some categories describe the payment method being exploited; others describe the fraudster’s technique. An account takeover, for example, may lead to either card fraud or a fraudulent bank transfer.

Credit Card Fraud

Credit card fraud is one of the most common forms of payment fraud, involving the unauthorized use of a credit card to make purchases or withdraw funds. Fraudsters typically obtain credit card details through phishing attacks, data breaches, or skimming devices. Once they have the information, they can make unauthorized purchases online or create counterfeit cards for in-person transactions.

Debit Card Fraud

Similar to credit card fraud, debit card fraud involves the unauthorized use of a debit card or its information. Fraudsters can withdraw cash from ATMs or make unauthorized purchases. Merchants accepting debit cards face disputes over those purchases and should include debit transactions in their fraud monitoring.

ACH Fraud

Automated Clearing House (ACH) fraud is a type of payment fraud that involves the unauthorized use of electronic funds transfers. Fraudsters may gain access to an individual or business’s bank account information through phishing or hacking and use it to initiate unauthorized ACH transactions. These can include fraudulent purchases or even direct transfers to the fraudster’s accounts.

Real-Time Payments (RTP) Fraud

Real-time payments (RTP) fraud is a growing concern as the adoption of instant payment systems increases globally. RTP allows funds to be transferred between bank accounts within seconds, which, while convenient, also provides fraudsters with the opportunity to exploit the speed of these transactions. The rapid nature of RTP transactions makes it challenging for financial institutions to reverse fraudulent transfers, making prevention and real-time monitoring important.

Peer-to-Peer (P2P) Payment Fraud

Peer-to-peer (P2P) payment platforms, such as Venmo, Zelle, and Cash App, are popular for their ease of use and speed in transferring money between individuals. However, this convenience also opens the door to P2P payment fraud. Fraudsters may impersonate trusted contacts, request payments under false pretenses, or exploit weak authentication measures to access and drain accounts. Unlike traditional payment methods, many P2P transactions are irreversible once completed, making it difficult for victims to recover lost funds.

Account Takeover

Account takeover fraud occurs when a malicious actor gains unauthorized access to a user’s account, often through phishing, credential stuffing, or social engineering. Once inside, the fraudster can change account details, make purchases using stored payment credentials, or even transfer funds to other accounts.

Card Testing

Card testing involves checking stolen or generated card details to see whether they can be used. Fraudsters may submit small purchases or attempt to save cards to an account, often using automated scripts. A sudden increase in declined authorizations or card-saving attempts can reveal an attack even when few purchases succeed. Validated details can then be used for larger fraudulent transactions or sold to other criminals.

How Payment Fraud Affects Merchants

Payment fraud can have devastating consequences for businesses, affecting their financial health, operations, and reputation.

Financial Loss

The most immediate impact of payment fraud is financial loss. Businesses can lose the payment and the goods supplied, incur chargeback fees, and spend staff time investigating the case. Card testing can also generate processing costs even when attempted purchases are declined.

Operational Disruptions

Fraud can also disrupt business operations. Time and resources that could be spent on growing the business may instead need to be diverted to dealing with fraud, including investigating major incidents, managing chargebacks, and implementing new security measures.

Payment Processing Risk

Card networks monitor fraud and disputes, and excessive levels can lead to assessments, remediation requirements, or restrictions on payment processing. Visa’s Acquirer Monitoring Program (VAMP), for example, uses a combined fraud-and-dispute ratio for card-not-present transactions. Merchants should monitor the applicable network metrics and their acquirer’s limits, since a chargeback ratio alone may not show their full exposure.

Best Practices for Payment Fraud Prevention

Payment fraud prevention works best when controls address different stages of a transaction, from account access through payment and fulfillment. The most effective methods will depend on the industry, the types of fraud a business most often faces, and the willingness of customers to provide additional information or complete extra authentication steps.

Every company must carefully weigh the benefits of fraud prevention against the costs of increased friction. A merchant can apply additional checks to suspicious activity without requiring every customer to complete the same steps.

AVS and CVV Matching

Address Verification Service (AVS) compares the billing address supplied by the customer with the address held by the card issuer. Card Verification Value (CVV) checks compare the submitted security code with the issuer’s records. Both provide useful signals for screening card payments. Merchants should combine the results with other transaction information when deciding whether to accept, review, or decline an order.

Velocity Checking

Velocity checking involves monitoring the frequency and volume of activity associated with an account, payment method, IP address, or device. By setting predefined thresholds, businesses can flag unusual patterns, such as several cards being tried from the same device. Include failed attempts in these checks so an attack does not have to produce successful payments before it is detected.

Risk Scoring

Risk scoring is a tool typically used by third-party fraud prevention software. It assigns a risk score to each transaction based on various factors, such as the customer’s purchase history, geographic location, authentication results, etc. Transactions with higher risk scores can be blocked, diverted to an additional authentication challenge or alternate payment method, or flagged for manual review. Transactions deemed low risk can proceed without additional checks. This method reduces the risk of fraud while minimizing disruptions for legitimate customers.

Account Security Measures

Securing customer accounts helps prevent account takeover attacks. Two-factor authentication can protect logins and sensitive changes, such as replacing a saved payment method or changing a payout account. Device recognition and unusual login patterns provide additional signals for review. CAPTCHA can reduce automated abuse, while account recovery procedures should prevent someone with limited personal information from bypassing authentication.

EMV Chip and Contactless Payments

EMV chip technology generates a unique security code for each transaction, helping prevent counterfeit card fraud. Merchants should support chip and EMV contactless payments and follow their processor’s procedures when a chip cannot be read. Staff should understand when magnetic-stripe fallback or manual entry is permitted, since bypassing chip processing can expose the merchant to counterfeit-fraud liability.

3-D Secure

EMV 3-D Secure (3DS) is an authentication protocol for online card payments. It shares transaction, payment, and device data with the issuer to help verify the cardholder. The issuer may authenticate a transaction without asking the customer to act, or request a challenge such as a one-time code or biometric check. Merchants should review authentication completion rates alongside fraud outcomes to assess how their implementation affects checkout.

Monitoring and Analyzing Chargebacks

Chargebacks are a common consequence of payment fraud, and monitoring them closely can help businesses identify patterns and trends that may indicate underlying issues. By analyzing chargeback data, businesses can identify repeat offenders, detect emerging fraud trends, and take corrective actions to prevent future incidents.

Dispute reason codes describe the cardholder’s claim and should be compared with transaction records before a customer is labeled fraudulent. A fraud-coded chargeback can involve a legitimate purchase the customer did not recognize. Treating every such case as stolen-card fraud can lead merchants to tighten checkout controls while leaving the actual cause unresolved.

Measuring Payment Fraud Prevention Results

Merchants should measure both fraud losses and the effect of prevention controls on legitimate sales. Review results by payment method and sales channel so improvements in one area do not conceal growing losses in another.

Defining KPIs

Useful key performance indicators (KPIs) include fraud losses as a share of sales, payment approval rates, chargeback ratios, and the share of orders sent for manual review. Track how many reviewed orders are approved and how long customers wait. Cart abandonment and authentication completion rates can help identify checkout problems, while reviewed declines can provide an estimate of false positives.

Regular Audits and Assessments

Regular audits and assessments help businesses identify weaknesses in their fraud prevention strategies and evaluate the effectiveness of their tools. Check whether transaction data reaches the screening system, whether rules are still active, and whether staff follow review procedures. After changing a rule, compare the affected orders with earlier results and allow time for delayed fraud reports and chargebacks to arrive.

Benchmarking Against Industry Standards

Benchmarking against similar businesses can help merchants assess their performance. Comparisons are most useful when they involve similar products, payment methods, and customer locations. Confirm that the metrics use the same definitions: a fraud rate calculated by transaction count cannot be directly compared with one calculated by revenue. Internal results over time remain useful when comparable external data is unavailable.

Keeping Fraud Controls Effective

A new payment method, product launch, or sales channel can create fraud exposure that existing rules were never designed to address. Include fraud review in those business changes, identify who will investigate suspicious activity, and decide which results will trigger a closer look. Merchants can then adjust specific controls as evidence develops, with a clear view of the losses prevented and the effect on legitimate sales.