By MFJ Staff
Editorial disclosure: Merchant Fraud Journal’s reviews are based on independent research into each vendor’s publicly available product information, pricing, and merchant-facing materials. Inclusion in this guide is not paid placement.
eCommerce fraud prevention software screens orders in real time, combining machine learning, device signals, and identity data to separate legitimate customers from fraudsters before an order ships. To help merchants find a fraud prevention solution that minimizes chargebacks while maximizing acceptance of legitimate orders, we reviewed the leading fraud prevention platforms on the market and the techniques each one uses to stop fraudsters.
eCommerce Fraud Prevention Companies
Comparison at a Glance
| Company | Merchant Profile | Chargeback Guarantee | Free Trial | Starting Price |
|---|---|---|---|---|
| Kount (Equifax) | Enterprise, Large, SMB | No | No | Available on request |
| Riskified | Enterprise | Yes | No | Per-transaction (volume-based) |
| Chargeflow | SMB, Large, Enterprise | Performance-based (4x ROI guarantee) | Yes (free Insights plan) | $0.20/scanned txn; 25% of recovered chargebacks |
| Forter | Enterprise | Yes | No | Available on request |
| Signifyd | SMB, Large | Yes | Yes (14 days) | From ~1% of orders |
| ClearSale | SMB, Large | Yes | Yes (30 days) | Volume-based |
| CyberSource (Visa) | Large, Enterprise | No | No | Quote-based |
| Feedzai | Large, Enterprise | No | No | Available on request |
| Sift | Large, Enterprise | No | Yes (30 days) | From $0.06/order |
| Fraud.net | Large, Enterprise | No | Yes | Available on request |
| SEON | SMB, Large | No | Yes (30 days) | From €0.02/API call |
| FraudLabs Pro | SMB, Large, Enterprise | No | No | Plan-based |
| NoFraud | SMB, Large, Enterprise | Yes | Yes | Available on request |
| F5 | SMB, Large, Enterprise | No | No | Available on request |
| Stripe Radar | SMB, Large, Enterprise | No | Yes (Stripe account) | $0.05 per screened transaction (waived for accounts on Stripe's standard pricing plan)e |
How These Solutions Were Evaluated
Each platform’s publicly available documentation was reviewed, including pricing pages, customer-facing materials, and analyst and merchant reviews. We cross-checked current ownership and product status as of September 2026. We evaluated each solution across seven criteria: automated workflows, machine learning maturity, insights dashboards, device fingerprinting, chargeback guarantees, supported ecommerce platforms, and merchant-size fit.Â
Merchant Fraud Journal is an independent, unbiased publication, and inclusion in this list is not a paid placement. For deeper background on how detection systems classify and respond to different attack types, see our guide to payment fraud types, detection, and prevention.
What Are the Main Features Fraud Prevention Platforms Offer?
Emerging patterns like synthetic identity fraud are reshaping which features matter most for a given merchant profile. See our overview of current eCommerce fraud trends for what is driving that shift. The list below spans SMB-, large-, and enterprise-focused platforms, so merchants of every size have viable options.
Click on each feature to see why it should be part of your decision criteria.Â
Automates the sending of order details, payment fraud checks, blocking of suspicious devices, fulfillment, and cancellation of fraudulent orders, so merchants can review even a high volume of orders quickly.
Uses real-time insights fed into machine learning models. Machine learning performs faster, more complex calculations across a wider range of fraud signals than manual review can.
Synthesizes relevant fraud-prevention data, surfaces algorithmic conclusions, and highlights suspicious activity in a single interface, eliminating the need to switch between multiple views.
Records information about the device a shopper uses when placing an order, including operating system, browser, and installed language options. A shopper claiming to be from a country whose language is not installed on their device, for example, can indicate use of a VPN to mask location.
A contractual obligation on the part of a fraud prevention solution to cover the cost of chargebacks incurred while using the platform, so the merchant never absorbs that cost directly. A smaller group of vendors, like Chargeflow, take a different approach and charge a performance fee only on chargebacks they successfully dispute and recover, rather than guaranteeing losses upfront.
It is critical to know which eCommerce platforms a fraud prevention tool actually supports before adopting it. Merchants who choose a tool without confirming platform compatibility risk gaps in fraud coverage, incomplete data syncing, or the need for custom development work to bridge the gap, which can undermine the very protection the tool is meant to provide.
eCommerce fraud solutions are not one-size-fits-all. Enterprise-grade platforms build a unique risk profile per merchant using large volumes of transaction data, which works less well for merchants with low order volume. Enterprise integrations also tend to be deeper and more resource-intensive, which can be a poor fit for smaller teams without dedicated development resources.
The right choice depends on transaction volume, in-house fraud team size, and how much of the decision a merchant wants to outsource. Merchants with thin margins on high-volume, low-ticket sales tend to lean toward performance-based pricing, while those handling higher-risk transactions often prioritize guarantees over cost.
The Top 15 eCommerce Fraud Prevention Companies
1. Kount, an Equifax Company
Best for: Enterprises that want fraud prevention backed by a global identity data network
| Merchant Profile | Enterprise, Large, SMB |
| Automated Workflow | Yes |
| Machine Learning | Yes, supervised and unsupervised |
| Insights Dashboard | Yes (Datamart self-service analytics) |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | No, not included in standard pricing |
| Supported Platforms | Magento, Shopify, Salesforce Commerce Cloud, 3DCart, KIBO |
| Pricing | Available on request |
| Free Trial | No |
Kount was acquired by Equifax in 2021 and now operates within Equifax’s U.S. Information Solutions business unit. It protects the entire customer journey through its Identity Trust Platform, which combines supervised and unsupervised machine learning to produce Omniscore, a transaction risk rating.
Customers use Omniscore and Kount’s policy engine to fine-tune decisions around chargebacks, manual reviews, and false positives. Kount does not include a standard chargeback guarantee, which keeps its subscription pricing lower than guarantee-backed competitors, but it leaves the fraud liability with the merchant unless a guarantee is negotiated separately. Now backed by Equifax’s broader identity data, Kount is well suited to enterprise merchants with in-house fraud expertise who want a highly customizable platform.
2. Riskified
Best for: Enterprise merchants who want binary approve or decline decisions and pay only on approved orders
| Merchant Profile | Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | Yes |
| Supported Platforms | Shopify, Magento, Commerce Cloud |
| Pricing | Based on transaction volume |
| Free Trial | No |
Riskified delivers instant approve or decline decisions using machine learning models trained on geolocation, social, proxy detection, device and browser fingerprinting, and order-linking signals. Rather than a risk score merchants have to interpret, Riskified gives a clear yes or no on every transaction.
Its pricing model charges merchants only for orders that are approved and generate sales. That ties the platform’s incentives directly to merchant revenue growth, not just fraud-catch rate.
3. Chargeflow
Best for: Merchants who want chargeback recovery and prevention on performance-based pricing, layered on top of an existing fraud stack rather than replacing it
| Merchant Profile | SMB, Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes, AI-powered evidence generation and risk scoring |
| Insights Dashboard | Yes (free-forever Insights plan) |
| Device Fingerprinting | Not publicly disclosed |
| Chargeback Guarantee | No traditional guarantee; performance-based recovery with a 4x ROI guarantee on Automation |
| Supported Platforms | Shopify, WooCommerce, and 100+ payment processor and platform integrations |
| Pricing | Insights free; Prevent from $0.20 per scanned transaction; Automation at 25% of recovered chargebacks; Alerts priced per deflected chargeback |
| Free Trial | No traditional trial, though Insights is free forever and the first 1,000 Prevent scans are free |
Chargeflow takes a different approach than most platforms in this guide. Rather than scoring every transaction before checkout, its core Automation product handles chargeback dispute response end to end: collecting evidence, drafting the rebuttal, and submitting it, then charging merchants 25% only on chargebacks it wins.
A separate Prevent product screens transactions post-checkout for friendly fraud and stolen-card activity, and Alerts uses Visa and Mastercard network data to deflect disputes before they become formal chargebacks. It is a different category from the decisioning platforms later in this list: for merchants who already use a fraud-scoring platform, or are evaluating one from further down this guide, Chargeflow functions as a recovery layer rather than a replacement. Its success-based pricing means there is no cost if a dispute is not won.
4. Forter
Best for: High-volume enterprise merchants that want a real-time identity network at scale
| Merchant Profile | Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | Yes |
| Supported Platforms | Magento, plus enterprise API integration |
| Pricing | Available on request |
| Free Trial | No |
Forter draws on a large, continuously updated identity network to distinguish fraudsters from genuine customers and returns an automated, real-time yes-or-no decision on every transaction.
Merchants can tailor Forter’s machine learning profile to their risk tolerance, and the dashboard surfaces behavioral, geolocation, and payment-detail insights. Additional controls cover phone-order protection and alternative payment methods.
5. Signifyd
Best for: SMB and large merchants who want a straightforward chargeback guarantee with flexible outsourcing options
| Merchant Profile | SMB, Large |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | Yes, 100% on both plans |
| Supported Platforms | Magento, Shopify, BigCommerce, Commerce Cloud |
| Pricing | Starting around 1% of orders |
| Free Trial | Yes (14 days) |
Signifyd minimizes checkout friction and can fully automate order fulfillment decisions. It offers two plans: On-Demand Assurance, where merchants manage most decisions themselves and call in a certified fraud expert as needed, and Complete Assurance, where Signifyd owns the entire accept-or-decline decision.
Both plans include a 100% chargeback guarantee, and Signifyd says it can reduce manual review volume by up to 80% for merchants who fully outsource.
6. ClearSale
Best for: Merchants who want AI screening backed by human manual review
| Merchant Profile | SMB, Large |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | Yes |
| Supported Platforms | Magento, BigCommerce, VTEX, PrestaShop, WooCommerce, 3D Cart, Zoey |
| Pricing | Depends on sales volume |
| Free Trial | Yes (30 days) |
ClearSale monitors shopper behavior in real time, looking for fraud-related browsing patterns, such as going straight to a high-cost item and immediately checking out. That signal is combined with external data and run through AI models to flag suspicious orders.
Orders the AI flags are routed to a human manual-review team, which in some cases will contact the shopper directly to confirm identity. That hybrid model keeps both chargebacks and false-positive declines low for ClearSale merchants.
7. CyberSource (a Visa solution)
Best for: Large and enterprise merchants already processing on the Visa network
| Merchant Profile | Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | No |
| Supported Platforms | Magento, BigCommerce |
| Pricing | Quote-based |
| Free Trial | No |
CyberSource is built on intelligence from the tens of billions of transactions that CyberSource and Visa process annually. It pairs proprietary machine learning with a flexible, web-portal-configurable rules engine that does not require specialized IT support to set up.
Merchants can choose from region-, industry-, and channel-specific risk models, and can backtest rules-based fraud logic against historical data using what-if scenarios before deploying changes live.
8. Feedzai
Best for: Large and enterprise merchants that want unified risk scoring across channels
| Merchant Profile | Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | No |
| Supported Platforms | Magento |
| Pricing | Available on request |
| Free Trial | No |
Feedzai is an end-to-end platform offering risk scoring, data orchestration, and case management across use cases like launch abuse and transaction monitoring, without disrupting the buying experience.
Its 360-degree customer view processes behavioral data across every channel, and its risk engine supports compliance needs like multi-factor authentication, giving merchants real-time insight into fraud patterns.
9. Sift
Best for: Merchants who want deep, signal-rich fraud detection with self-serve pricing
| Merchant Profile | Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | No |
| Supported Platforms | WooCommerce, Shopify, Magento |
| Pricing | Starting around $0.06 per order |
| Free Trial | Yes (30 days) |
Sift is a cloud-based machine learning platform that analyzes more than 16,000 fraud signals updated in real time, giving merchants an enterprise-grade view of fraudulent activity through raw data access and visualizations.
Features include IP address analysis, device ID fingerprinting, and social data analysis, helping merchants both protect customer accounts and detect fraud against the business itself.
10. Fraud.net
Best for: Enterprises that want a transparent, glass-box view into fraud decisioning
| Merchant Profile | Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | No |
| Supported Platforms | Enterprise API integration |
| Pricing | Available on request |
| Free Trial | Yes |
Fraud.net combines cognitive computing and deep learning, collective intelligence, rules-based decision engines, and streaming analytics into one architecture to detect fraud in real time across eCommerce, travel, and financial services.
Its cloud-based glass-box system gives merchants full visibility into the data, statistics, and variables behind each decision. That transparency is a differentiator for teams that want to understand the why behind a decision, not just the yes or no. Fraud.net also offers enterprise case management and advanced analytics as standalone capabilities.
11. SEON
Best for: Merchants who want highly flexible, usage-based pricing across multiple industries
| Merchant Profile | SMB, Large |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | No |
| Supported Platforms | API-based integration |
| Pricing | From roughly €0.02 per API call, volume-based |
| Free Trial | Yes (30 days) |
SEON is a European-based fraud prevention platform serving customers across banking, gaming, lending, ecommerce, travel, and payment gateways. Its Sense Platform and Intelligence Tools are built to flex across very different merchant profiles. A traditional ecommerce store looks nothing like an online gambling platform, and SEON’s architecture is designed to serve both.
Pricing is charged per API call and varies by endpoint, with payments API calls costing more than login API calls, and rates decreasing as monthly volume grows. That gives smaller merchants a genuinely low-cost entry point.
12. FraudLabs Pro
Best for: Budget-conscious SMBs on a wide range of ecommerce platforms
| Merchant Profile | SMB, Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | No |
| Supported Platforms | 20+ plugins, including Shopify, BigCommerce, Magento, WooCommerce, WHMCS, and OpenCart |
| Pricing | Plan-based |
| Free Trial | No (free plan available) |
FraudLabs Pro inspects and validates orders across every aspect of the order information, cross-referencing a global merchant blacklist network to catch fraud accurately while minimizing false positives.
With hundreds of customizable validation rules and more than 20 ready-made plugins for major ecommerce platforms, it is built to be one of the more accessible entry points for smaller merchants who still want platform breadth.
13. NoFraud
Best for: Merchants who want a simple pass or fail decision and a 100% financial guarantee
| Merchant Profile | SMB, Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | Yes, 100% |
| Supported Platforms | Magento, Shopify, Shopify Plus, BigCommerce, WooCommerce, Salesforce Commerce Cloud, Shift4Shop, Volusion, PrestaShop |
| Pricing | Available on request |
| Free Trial | Yes |
NoFraud scans every order in real time using a combination of AI and proactive human review, returning a simple pass or fail decision so merchants never need to manually review orders or interpret fraud scores.
NoFraud Checkout adds a conversion layer on top: trusted shoppers can autofill and speed through checkout, while riskier shoppers see dynamically added verification fields, and the 100% chargeback guarantee means any fraud chargeback that slips through is reimbursed.
14. F5
Best for: Enterprises that want fraud prevention converged with bot mitigation at global scale
| Merchant Profile | SMB, Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes |
| Chargeback Guarantee | No |
| Supported Platforms | F5 BIG-IP, F5 Distributed Cloud WAAP, NGINX, Adobe Commerce, Cloudflare, Salesforce Commerce Cloud, Splunk |
| Pricing | Available on request |
| Free Trial | No |
F5 Distributed Cloud, spanning Bot Defense and Account Protection (formerly known as Shape AI Fraud Engine), protects merchants using an AI and machine learning fraud engine, a global threat intelligence network, and patented JavaScript obfuscation designed to outsmart sophisticated attackers. Together, the two services cover the full customer journey, from first visit through account creation, login, and checkout.
F5 reports its customers identify roughly 5x more fraud per month than before adopting the platform, with lower false-positive rates. That combination makes it a strong fit for large enterprises that already treat bot mitigation and fraud prevention as one converged problem.
15. Stripe Radar
Best for: Merchants already processing payments through Stripe who want fraud protection built into the payment stack
| Merchant Profile | SMB, Large, Enterprise |
| Automated Workflow | Yes |
| Machine Learning | Yes, trained across Stripe's global payments network |
| Insights Dashboard | Yes |
| Device Fingerprinting | Yes, device and network signals |
| Chargeback Guarantee | No |
| Supported Platforms | Native to Stripe; works with any Stripe-connected storefront |
| Pricing | $0.05 per screened transaction on Radar's machine learning tier, waived for accounts on Stripe's standard pricing; Radar for Fraud Teams runs $0.07 per screened transaction (or $0.02 for accounts already on standard pricing) |
| Free Trial | Included with any Stripe account |
Stripe Radar is included by default with every Stripe account and scores transactions in real time using machine learning trained on Stripe’s network of billions of transactions, with no separate integration.
For merchants who want more control, Radar for Fraud Teams adds custom rule-building, list management, and team review workflows. Because it lives inside the payment stack rather than bolted on top, Radar is one of the lowest-friction ways for a Stripe merchant to add fraud screening. Merchants processing significant volume outside Stripe will still need a platform-agnostic solution.
How the eCommerce Fraud Prevention Market Looks in 2026
The ecommerce market is a complex and sometimes dangerous place for merchants. Plenty of opportunities exist to expand a business, but expansion also brings new threats. About half of small businesses fall victim to fraud at some point in their business life cycle, according to the Association of Certified Fraud Examiners.
Beyond the direct exposure to hacking and phishing attempts, accepting fraudulent payments can leave a merchant liable for the financial loss on the sale. Merchants who try to protect themselves without the right tools or expertise often overcorrect and decline too many legitimate orders. False-positive declines quietly erode customer trust and revenue, often without merchants realizing there is a problem.
Recent industry data shows how much that overcorrection costs: North American ecommerce merchants now pay $5.13 in total fraud-related costs for every $1 lost directly to fraud, and 54% of US ecommerce merchants report rising customer churn tied to their own anti-fraud checks, according to the 2026 LexisNexis True Cost of Fraud Study for Retail and Ecommerce.Â
Sources for statistics cited in this guide:
- Association of Certified Fraud Examiners, small-business fraud data (see acfe.com)
- 2026 LexisNexis True Cost of Fraud Study for Retail and Ecommerce (see LexisNexis Risk Solutions press release)
The Right eCommerce Fraud Prevention Tool For You
No platform eliminates fraud entirely. The right pick reduces both fraud losses and false-positive declines for a merchant’s specific size and risk tolerance.
Merchants who want to outsource the fraud decision and get a financial backstop should start with Signifyd, NoFraud, ClearSale, Riskified, or Forter, all of which include a chargeback guarantee. Kount does not include one in its standard pricing. High-volume enterprise merchants that want a clean yes or no on every order, without interpreting a risk score, fit best with Riskified or Forter.
SMBs on a tight budget should compare SEON, FraudLabs Pro, and Sift, all of which offer usage-based or free-tier pricing. Chargeflow is best for chargeback recovery, not just prevention, is the bigger pain point.
Frequently Asked Questions
What is the best eCommerce fraud prevention software?
There is no single best platform, since the right fit depends on merchant size and risk tolerance. Signifyd and NoFraud suit merchants who want a chargeback guarantee, Riskified and Forter fit high-volume enterprises that want a binary decision, and SEON work well for merchants who want a lower-cost or already-integrated option.
How much does eCommerce fraud prevention software cost?
Pricing models vary widely. Some platforms charge a percentage of order value or a flat per-transaction fee, others are quote-based for enterprise deals, and Chargeflow charges a percentage only of chargebacks it actually recovers.
What is the difference between rules-based and AI-driven fraud detection?
Rules-based systems flag transactions that match predefined conditions the merchant sets, such as a mismatched billing and shipping address. AI-driven detection scores transactions using machine learning trained on historical fraud data, which can catch novel patterns that static rules miss.
What is device fingerprinting in fraud prevention?
Device fingerprinting collects technical signals from a shopper's device, such as operating system, browser, and installed language packs, to build a risk profile for that session. It is common across fraud prevention platforms because it can surface signals a shopper cannot easily fake, like a location claim that does not match the device's language settings.
Is fraud prevention software worth it for small eCommerce businesses?
For most small merchants, yes, since about half experience fraud at some point and false-positive declines can cost more in lost legitimate sales than fraud itself. SMB-friendly platforms like SEON, FraudLabs Pro, and Signifyd offer usage-based or lower-cost pricing specifically to make fraud prevention accessible below enterprise volume.
What is the difference between a chargeback guarantee and a chargeback recovery service?
A chargeback guarantee, offered by platforms like Signifyd or NoFraud, reimburses the merchant automatically when an approved order turns out to be fraudulent. A chargeback recovery service like Chargeflow instead disputes chargebacks after they happen and charges a fee only when it wins, which makes it a complement to prevention tools rather than a replacement.













