Today’s digital marketplace offers unprecedented opportunities for you to grow your business, yet these opportunities can also increase your risk of fraud. While larger organizations may have the luxury of resources to counter such threats, small and medium-sized businesses (SMBs) often find themselves struggling.
Perhaps the most frustrating trend for SMBs is the legitimate customer who disputes a valid charge. Known as first-party misuse or friendly fraud, this phenomenon has surged in recent years. Data suggests that first-party misuse can account for up to 75% of all chargebacks1 making this a costly issue.
For a small business, a chargeback is a double blow: you can lose the merchandise and the revenue, and you often pay a penalty fee. Fighting these disputes manually is time consuming and can feel like a losing battle.
The good news? The tools to level the playing field are no longer out of reach. By shifting from reactive to proactive, business owners can protect their bottom line without sacrificing their focus on growth.
The ultimate goal of fraud prevention isn't just stopping loss; it's also enabling sales. When you trust your security, you can accept more orders with confidence.
And you can always trust in Visa’s solutions—it was ranked number one by Juniper Research in its eCommerce Fraud Prevention 2025–2030 Leaderboard.2
What are fraud controls and response?
Payment fraud controls are tools, rules, and real‑time systems that detect, prevent, and help stop unauthorized or suspicious transactions. Many smaller merchants still rely on human analysis to screen orders, whereas fraud controls work smarter by analyzing data, verifying identity, monitoring behavior, and applying automated decisions before money moves.
They are risk‑management mechanisms used by financial institutions, processors and networks to protect against unauthorized payments. They operate across the full payment lifecycle—before, during, and after a transaction.
Compliance requires adherence to security standards such as the Payment Card Industry Data Security Standard (PCI DSS) to ensure data remains safe. Sensitive data can be locked down using tokenization, which replaces card numbers with secure codes that hackers can’t use. This can help protect both your customers and your reputation.
Response refers to processes for managing disputes and submitting evidence to issuers to prove a transaction was valid and recover lost revenue. SMBs can push back against friendly fraud disputes by sharing compelling evidence, including order history, to prove charges are valid and protect revenue.
How can SMBs strengthen fraud controls?
Fraudsters often view smaller merchants as the path of least resistance. By leveraging automated tools and shifting to a proactive strategy, you can turn risk management from a burden into a competitive advantage.
Human analysis is slow, difficult to scale during peak seasons and results in an average of a 19% decline rate for reviewed orders.3 Moving from reactive dispute management to proactive, automated control allows business owners to focus on growth.
Additionally, investigating disputes manually drains valuable time and resources, often costing more in operational overhead than the actual value of the goods lost. You no longer need a team of data scientists to use machine learning. Modern fraud tools can now support automated risk assessment, analyzing billions of data points in milliseconds to distinguish between a loyal customer and a fraudster. By automating this screening, businesses can decrease manual reviews by 25% or more,4 freeing up valuable time.
Proving to a financial institution that a customer actually received their goods is difficult without access to detailed transaction history and data. Collaborative tools allow merchants to share detailed purchase information—including digital receipts and order history—directly with issuers in real time. This compelling evidence can clear up customer confusion instantly, preventing a dispute from ever being filed.
| THE PROBLEM | THE SOLUTION | THE RESULTS |
|---|---|---|
| Human analysis is a process that is slow, difficult to scale during peak seasons and results in an average of a 19% decline rate for reviewed orders.5 | Moving from reactive dispute management to proactive, automated control allows business owners to focus on growth rather than fighting fires. | By leveraging automated tools and shifting to a proactive strategy, you can turn risk management from a burden into a competitive advantage. |
| Investigating disputes manually drains valuable time and resources, often costing more in operational overhead than the actual value of the goods lost. | You no longer need a team of data scientists to use machine learning. Modern fraud tools can now automate decision-making, analyzing billions of data points in milliseconds to distinguish between a loyal customer and a fraudster. | By automating this screening, businesses can decrease manual reviews by 25% or more,6 freeing up valuable time. |
| Proving to a financial institution that a customer actually received their goods is difficult without access to detailed transaction history and data points of the compelling evidence. | Collaborative tools allow merchants to share detailed purchase information—including digital receipts and order history—directly with issuers in real time. | This compelling evidence can clear up customer confusion instantly, preventing a dispute from ever being filed. |
What fraud controls should SMBs use?
Speed up approvals with AI
Say goodbye to reviewing every order by hand. AI-driven risk scoring allows you to screen each transaction in milliseconds to help determine the likelihood of it being a genuine customer versus a fraudster. This shift to automation allows you to move away from slow manual reviews, reducing that workload for your team by 25% or more7 while keeping your sales flowing.
Secure data with tokenization
Protect your business and your customers by replacing sensitive card numbers with unique digital codes, known as tokens. This technology ensures that even if that code data is stolen, it is almost useless to criminals. Plus, it helps towards your security requirements (including PCI compliance) and builds trust with your shoppers.
Reduce fraud in its tracks
Put a stop to card testing, bot-driven attempts and high-risk patterns before they become costly disputes with configurable controls built into your payment flow. Tune filters for AVS/CCV verification, transaction and IP velocity, shipping/billing mismatches and geo-based risk to automatically block, flag for review, or allow transactions in real time. This reduces the time you spend on manual review, while preserving approval rates.
Take a proactive approach
Don’t simply wait for a chargeback to happen. By utilizing tools that automatically share purchase details—such as device IDs and order history—with financial institutions at the moment of inquiry, you can prove a transaction is valid immediately. This compelling evidence stops invalid disputes (often called first-party misuse) in their tracks before they become costly headaches.
What does Visa offer?
Verifi Order Insight (Compelling Evidence 3.0): Prevent invalid disputes by sharing detailed transaction data such as order history and device information directly with the cardholder’s issuer the moment a customer challenges a charge on their statement. This degree of transparency offers the best available proof that the purchase was valid, helping to block friendly fraud disputes, so they never turn into costly chargebacks.
Rapid Dispute Resolution (RDR): Embrace automation by putting your dispute management on autopilot. RDR acts as an intelligent decision engine that automatically resolves Visa pre-dispute cases based on the specific rules you set, helping you spot the difference between genuine customers and fraudsters quickly and easily. By resolving liability in real time, you avoid chargeback fees and remove the need for time-consuming manual work.
Cardholder Dispute Resolution Network (CDRN): Resolve Visa and non-Visa disputes before chargebacks are filed with access to a network of global issuers. Drive down fees and call-center operational costs, while resolving fraud and non-fraud before matters escalate.
Decision Manager: You don’t need a massive team of analysts to outsmart fraudsters. Decision Manager uses advanced machine learning and insights from global data to screen orders in milliseconds. This automated tool filters out bad actors while spotting good customers, allowing you to reduce manual reviews by 25% or more.8
Token Management Service: Protect your customers and your business by protecting sensitive data. Visa’s Token Management Service replaces primary account numbers (PANs) with unique digital identifiers called tokens. This technology minimizes your scope of compliance and enables secure, one-click checkout experiences that help keep transactions moving.
Advanced Fraud Detection Suite (AFDS): Help protect your revenue without adding checkout friction by layering powerful, configurable controls directly into your payment flow so you can stop card testing, bot-driven transaction attempts and high-risk patterns before they become fraud losses. Merchants can configure 13 filters for CCV (Card Code Verification), transaction and IP velocity, shipping/billing mismatches and geo-based risk to automatically block, flag for review, or allow transactions in real time. AFDS complements your existing risk strategy and helps reduce manual review while preserving approval rates, so you spend less time chasing chargebacks and more time growing the business. It’s all delivered within the Authorize.net gateway, giving merchants an easy, reliable way to defend against fraud at scale.
Staying ahead of fraudsters can feel like an uphill struggle but Visa’s tools lighten the load. By putting the right fraud controls in place, you can reduce losses while approving sales—and focus on growing your business.
FAQs
Financial institutions are deploying some incredibly smart and proactive strategies to keep money safe while ensuring legitimate customers can still tap, swipe, and click with ease. Some of the common fraud response strategies being used by financial institutions include:
- Real-time AI risk analysis: Financial institutions are increasingly supplementing manual reviews with advanced predictive risk scoring. Help evaluate transactions with Visa Advanced Authorization (VAA) or Visa Deep Authorization (VDA), which analyze global data patterns across Visa’s network to generate a risk score for every transaction in milliseconds.
How it works: If a transaction fits a customer's usual habits, it gets a green light. If it looks suspicious (like a purchase in a country the customer has never visited), the AI flags it instantly.
- Putting the customer in control: One of the most effective strategies is simply keeping the customer in the loop. Financial institutions are implementing Visa Transaction Controls (VTC) and purchase alerts to send real-time notifications.
How it works: If a customer sees a charge they didn't make, they can turn their card off instantly from their phone. Alternatively, they can confirm a flagged transaction is valid via two-way text, preventing a false decline.
- Advanced ID checks for authentication: To stop bad actors from using stolen card details online, financial institutions use authentication protocols like Visa Secure (EMV® 3-D Secure).
How it works: Financial institutions can verify the person shopping is actually the cardholder by analyzing data or asking for a quick verification (like a passcode) before the checkout completes.
- Locking down data with tokenization: Financial institutions are increasingly using Visa Token Service (VTS) to replace sensitive account numbers with unique digital identifiers called tokens.
How it works: Even if hackers obtain these tokens, they cannot be used broadly like stolen card numbers, greatly reducing the value of the stolen data. Financial institutions also deploy specialized defenses to detect account number enumeration, and block those attempts before fraudulent transactions can be attempted.
- Smart rules and benchmarking: Financial institutions use intelligent risk management tools, such as Visa Risk Manager (VRM).
How it works: These solutions apply rules to support identifying and declining high-risk transactions based on issuer-defined strategies. Financial institutions also use analytics platforms to compare performance against peer institutions, ensuring decline rates are appropriately calibrated.
- Fighting friendly fraud and scams: When a customer disputes a valid charge—often because they do not recognize the charge or forget their purchase—merchants and their acquirers can use frameworks such as Visa’s Compelling Evidence 3.0 to demonstrate the purchase was legitimate. CE3.0 is designed to address certain first-party misuse disputes by showing that the cardholder or an authorized user participated in the transaction.
How it works: Visa’s solution leverages relevant historical transaction data of the cardholder’s purchases to help show the charge was legitimate. If the evidence meets Visa’s criteria, it can help merchants and acquirers challenge invalid friendly fraud disputes and reduce unnecessary dispute losses.
Designing an anti-fraud plan for a small or medium-sized business (SMB) doesn’t require a massive department or a limitless budget. In fact, the most effective plans are all about working smarter, not harder, by leveraging automation and focused strategies.
Here is a blueprint for how SMBs are designing their defenses to punch above their weight class:
- Replace manual review with digital screening
Reduce manual order review by using digital screening tools. By letting software identify high-risk orders, you free up your staff to focus on selling rather than policing orders.
- Focus on the metrics that matter
While giant corporations track dozens of complex data points, smart SMBs hone in on the key performance indicators. Don't get bogged down in data overload. SMBs are finding success by focusing intensely on the core metrics: revenue, payment success rate and loss rate. Keep it simple: if these three numbers are healthy, your plan is working.
- Use set it and forget it tools
You don't need to build your own fraud tools from scratch. SMBs are plugging into stackable solutions that automate protection. Advanced Fraud Detection Suite from Authorize.net gives SMBs protection and fine-grained control straight out of the box. With 13 customizable rules, businesses can automatically flag or block suspicious activity in real time while letting trusted customers pay without friction. The result? Fewer chargebacks, fewer manual reviews and more genuine sales.
- Lean on marketplaces
Sometimes, the best defense is a strong partner. Many smaller merchants use third-party marketplaces not just for sales, but for safety. These platforms handle much of the heavy lifting regarding payment acceptance and security, allowing SMBs to access loyal customers while minimizing the risks and costs of managing a standalone website.
- Stop friendly fraud before it starts
A huge chunk of fraud comes from legitimate customers simply getting confused or trying to game the system (known as first-party misuse). Businesses are increasingly using tools like Order Insight’s Compelling Evidence 3.0. By automatically sharing purchase details—like what device was used or what was bought—with the issuer, you can prove a purchase was valid instantly, stopping a costly dispute in its tracks.
Internal controls are the immune system of a financial institution, a complex network of checks, balances, and technologies designed to spot threats and help mitigate them before they escalate. Here is how these controls work to keep fraud at bay.
- The defense-in-depth strategy
Financial institutions are moving away from relying on a single lock on the front door. Instead, they are adopting a defense-in-depth approach, which layers multiple detective and preventive controls on top of each other. These include merging the expertise of their fraud management teams with their cybersecurity technology teams to create a holistic view of the threat landscape.
- Smart monitoring with AI
Gone are the days of manual reviews for every transaction. Internal controls now rely heavily on AI and machine learning to act as 24/7 digital detectives. Tools like Visa Advanced Authorization (VAA) analyze global data patterns to assign a risk score to every transaction in milliseconds. Systems monitor for anomalies in user behavior, such as unusual login times or device usage, to detect account takeovers or adaptive malware that tries to hide in the system.
- Data protection and testing
Internal controls also focus on making data almost useless to criminals if they do manage to steal it. Services like the Visa Token Service (VTS) replace sensitive account numbers with unique digital identifiers (tokens). If hackers intercept this data, the likelihood of them using it for fraud is significantly reduced.
- Empowering the customer
Finally, internal controls extend to the customers themselves. By providing tools like Visa Transaction Controls, financial institutions allow customers to set their own spending limits, receive real-time alerts and even turn their cards off instantly if they spot suspicious activity.
Here’s how they differ and how they work together to keep payments safe:
Fraud controls are the active measures, rules and technologies you put in place to try and prevent fraud before it happens or limit the damage when it does. These are your preventive defenses.
- Tools like EMV® 3-D Secure act like a digital ID check, ensuring the person using the card is actually the owner before a purchase goes through.
- Tokenization replaces sensitive card numbers with random digital codes.
- Rules and limits prevent money moving, such as setting a rule that references transaction amount, or a geography-based rule.
Fraud monitoring is the ongoing process of watching transactions, user behavior, and system health to spot patterns, anomalies or new threats.
- Monitoring tools look for anomalies, like a customer who usually buys coffee suddenly buying ten laptops in a row. If the behavior looks weird, the system flags it.
- Teams use analytics reports to see trends, such as a sudden spike in chargebacks or a high volume of failed login attempts, which might indicate a brute force attack.
- Advanced AI monitors transactions in milliseconds, assigning a risk score based on global data. It doesn't inherently stop the transaction, but it tells the system how likely it is to be fraud so a decision can be made.
1 PYMNTS. (2024, March 14). Preventive Measures Pay Off as Merchants Fight Surging Chargebacks. PYMNTS.com.
2 (eCommerce Fraud Prevention 2025–2030, Juniper Research, 2025)
3 The Merchant Risk Council (MRC), Verifi, Visa Acceptance Solutions, and B2B International. (2025). 2025 Global eCommerce Payments & Fraud report
4 Based on data collected from Decision Manager clients moving to actively using Decision Manager’s Identity Behavior Analysis
5 The Merchant Risk Council (MRC), Verifi, Visa Acceptance Solutions, and B2B International. (2025). 2025 Global eCommerce Payments & Fraud report
6 Based on data collected from Decision Manager clients moving to actively using Decision Manager’s Identity Behavior Analysis
7 Based on data collected from Decision Manager clients moving to actively using Decision Manager’s Identity Behavior Analysis
8 Based on data collected from Decision Manager clients moving to actively using Decision Manager’s Identity Behavior Analysis
Disclaimer: Case studies, comparisons, statistics, research, and recommendations are provided “AS IS” and intended for informational purposes only and should not be relied upon for operational, marketing, legal, technical, tax, financial or other advice. Visa neither makes any warranty or representation as to the completeness or accuracy of the information within this document, nor assumes any liability or responsibility that may result from reliance on such information. The information contained herein is not intended as investment or legal advice, and readers are encouraged to seek the advice of a competent professional where such advice is required.