Top 10 Ecommerce Fraud Detection Software & Tools

47% of ecommerce companies surveyed by Merchant Savvy said they experienced payments fraud in the past two years. Finding the right protection can also be its own challenge.

Ecommerce fraud prevention software should offer a combination of payment analysis tools as well as identity verification.

List of Top Ecommerce Fraud Detection Software

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What Is Ecommerce Fraud Prevention Software?

Ecommerce fraud prevention software allows online stores to automatically accept or decline payments to mitigate the risk of chargebacks and other types of fraud. 

The software runs in the background as customers visit the eshop, browse products, create accounts, log in, make purchases, enter their details, and so on. There are different touchpoints, and it’s good to keep in mind that not all available fraud prevention software covers every touchpoint. However, to be better protected, you will want to address as many as possible and, importantly, do so with minimal disruption to your customers’ shopping journeys.

The 10 Best Ecommerce Fraud Prevention Software

Disclaimer: Everything you’ll read in this article was gleaned from online research, including user reviews. We did not have time to manually test every tool. This article was last updated in Q3 2023. Please feel free to contact us to request an update/correction.



Lower Chargebacks and False Positives

From transaction fraud to return fraud and even triangulation fraud, there’s little you can’t control with SEON. The key? Leveraging the power of alternative data and dynamic friction to reduce fraud rates without slowing your customers’ purchase journey.


  • Spot connections between accounts
  • Frictionless digital footprint analysis
  • Flexible integration


  • No chargeback guarantee

SEON Pricing

  • Starts at $599. Free version available with limited API calls.

Choose SEON If

  • You’re looking for an intelligent solution that leverages real-time insights without interrupting shoppers’ experience.

Here’s how it works:

As soon as shoppers arrive at your store, SEON immediately begins collecting data behind the scenes. You choose the data points to focus on and enrich, such as IP address, email address, phone number, and device. SEON also lets you check 90+ platforms and social media networks for linked profiles and open-sourced customer info. This allows you to learn hundreds of insightful data points about the customer without interrupting their shopping experience by asking them.

All the data is fed through risk rules, which are customizable. SEON also features a whitebox machine learning engine that will learn from your customers and activity and suggest new rules that will work for your business in particular. As you flag more fraud cases, the system learns to recognize suspicious patterns in your particular website users and usage.

The goal is to reduce fraud at every stage, whether it’s a login, sign-up, or payment, by giving you complete control of your risk appetite. This helps reduce false positives. You can also use all the collected data to dispute chargebacks and prove you’re addressing friendly fraud.


  • Frictionless digital footprint analysis: Aggregates real-time data from 90+ social networks and platforms so you can quickly see if you’re dealing with a real person or not. Also uses dynamic friction, only asking shoppers for extra information when necessary.
  • Spot connections between accounts: Multi-accounting and bonus abuse challenges? SEON can take down entire networks of fraudsters by highlighting links between their accounts, as well as suspicious setups.
  • Flexible integration: Use SEON on its own, or pick and mix any APIs you need to integrate with your existing tech stack. Or use SEON’s Shopify app, Chrome extension, Zapier integration, or user-friendly end-to-end Admin Panel interface.


  • No chargeback guarantee: SEON believes that the chargeback guarantee model is an incentive to create too many false positives. If it’s this model you are after, there are better alternatives.


Revenue, Abuse, and Payments Protection

Rajesh Ramanand and Michael Liberty met when they worked at PayPal. They realized that enabling online payments was one thing, but protecting stores from fraud was just as important. Their solution? A fraud prevention product that calls itself the “defender of ecommerce” and promises not to treat your customers like criminals. 

Under the hood, the tech is broken down into two key components: the Commerce Protection Platform, and the Payment Optimisation Platform. The latter is made up of four modules: the Console (main interface), Decision Center (where you can define and edit your shop policies), Insights Reporting (to drill into your transaction data), and the Onboarding Hub, designed to configure a frictionless merchant experience.


  • Data enrichment
  • Powerful integrations
  • Enterprise ecommerce specialists


  • No reverse social media lookup
  • Blackbox machine learning model

Signifyd Pricing

  • Available upon request. 

Choose Signifyd If

  • You are an enterprise that uses Salesforce, Magento, or Shopify and wants a set-and-forget solution.

As an ecommerce business, you’ll probably need the Commerce Protection Platform, which offers a mix of account protection, abuse prevention, and payment optimization. It is built upon Signiyd’s Commerce Network, which is a shared intelligence database designed to gather transaction data from thousands of global ecommerce retailers.

Signifyd Pros

  • Enterprise ecommerce specialists: Larger retailers should find themselves at home with Signifyd. 
  • Data enrichment: You can aggregate external data based on an email address or phone number.
  • Powerful integrations: Signifyd works seamlessly with Salesforce, Shopify, and Magento. 

Signifyd Cons

  • No reverse social media lookup: While you get some data enrichment, you won’t be able to learn anything from social networks and similar platforms.
  • Blackbox machine learning model: Blackbox models aren’t explainable, which means that they’re not as easy to improve upon, and the reasons behind false positives are not transparent.


13 Years’ Worth of Business Data

One of Kount’s greatest selling points is its Identity Trust Global Network, containing a whopping 23 billion data points for user actions and profiles across 250 countries and 75 industries. This data was collected over 13 years.

Other key products include: Command, the firm’s end-to-end solution for dealing with card-not-present (CNP) transactions; Central, tailored to payment service providers; and Control, its account takeover (ATO) protection tool. Kount’s technology is used by world-leading online retailers such as PetSmart and Staples and financial institutions such as Barclays and Chase.


  • Strong chargeback prevention focus
  • Protects the entire customer journey
  • Customizable solution


  • No phone or social media lookup
  • Opaque pricing

Kount Pricing

  • You’ll need to contact the company directly to learn more about prices.

Choose Kount If

  • You value the intel gathered by other merchants on who’s fraudulent and who’s not, or you need integrations with major platforms such as WooCommerce and Magento.

As a bonus point, Kount was acquired by Equifax in February 2021, which means you’re very likely to see integrations with other tools from the UK’s leading credit scoring provider in the future.

It’s also worth noting that Kount can integrate directly with online commerce platforms such as WooCommerce, Shopify, and Magento, among others.

Kount Pros

  • Strong chargeback prevention focus: A lot of the data points Kount has gathered over the years are designed to help prevent chargeback fraud.
  • Protects the entire customer journey: From signup to checkout and even authentication at login, you can calculate risk at every step.
  • Customizable solution: One reason Kount works just as well for online stores as banks is that you have complete control over how you mitigate risk.

Kount Cons

  • No phone or social media lookup: You’ll get tons of data pertaining to payment but not much extra info to complete a customer profile.
  • Opaque pricing: The chargeback guarantee model can be loved or loathed by online stores, but everyone agrees that hiding pricing behind sales calls is a downside.


Digital Trust, Safety, and Chargeback Prevention

A Y Combinator alum with a $1 billion valuation, Sift has quickly emerged as one of the startup world’s favorite fraud protection solutions – including for online stores. It currently protects a number of renowned brands operating in the CNP space, such as Airbnb, McDonald’s, and Doordash. 

The company’s key products are: its Digital Trust and Safety Suite, which includes all its APIs designed to stop fraud; Account Defense, its ATO solution; Payment Protection, which combines shared databases and machine learning; and Dispute Management, specifically tailored to moderating and safeguarding content.


  • Specialist chargeback module
  • Data enrichment and machine learning


  • Blackbox AI
  • Less-than-ideal integration

Sift Pricing

  • Available by contacting the sales team.

Choose Sift If:

  • You want a suite of customizable products, including a specialist chargeback module.

As you can imagine, a key advantage of having this whole suite of products is that they seamlessly integrate with each other and that most of them offer enough customization options to adapt the tools to your risk managers’ needs. 

A noteworthy addition to its product line is Sift Connect, which lets your online store connect more fraud prevention and risk management solutions from third-party payment solutions, such as Adyen, Braintree, and Stripe, among others.

Sift Pros

  • Specialist chargeback module: It should offer peace of mind to online retailers who want to see results out-of-the-box.
  • Data enrichment and machine learning (ML): Reduce user friction by adding external data to your user profiles and feeding the results to a powerful ML system.

Sift Cons

  • Blackbox AI: Sift is great at calculating risk. But how, exactly? It’s not always clear because of the opaque nature of its blackbox algorithms.
  • Less-than-ideal integration: Some reviewers report lengthy deployment and difficulty in combining Sift products despite the availability of APIs.


Single Platform Commerce Solution

When it comes to gathering credit card data, you’d be right to guess that Visa is pretty good at it. This is why it would make sense for the card operator to get into the payment protection industry by acquiring Cybersource, a fraud prevention company, back in 2010 (for a whopping $2 billion).

What it means for its users is that you can get a single point of control for payment acceptance, fraud management, and transaction security. In its own words, Cybersource’s goal is to reimagine payments via seamless, personalized experiences that are friendly and secure.


  • Payments and payment protection
  • Additional payments services


  • Full integration required
  • Not suited to small and medium businesses

Cybersource Pricing

  • You’ll need to contact the company for a quote but, in general, it seems to be tailored to Enterprises.

Choose Cybersource If

  • You’re with an enterprise and work closely with Visa for payments, or you need fraud prevention both for online and brick-and-mortar points of sale.

In practice, this is done via standard IP and device analysis, along with behavior tracking and user authentication. The key point to note is that Cybersource takes a bit of an all-or-nothing approach, which means you’ll have to handle both payments and risk management with the company.

Cybersource Pros

  • Payments and payment protection: The partnership with Visa makes it an attractive proposition if you need to start accepting payments on your site with peace of mind.
  • Additional payments services: You get fraud and risk management, but also extras such as payouts, global tax calculation, and currency conversion for CNP, buy now pay later (BNPL), e-wallets, direct debit, and more. 

Cybersource Cons

  • Full integration required: Cybersource is at its best when you use it for payment acceptance and fraud prevention – meaning it’s not ideal for a multi-layered ecommerce fraud prevention approach such as a risk stack comprising various tools.
  • Not suited for small and medium businesses (SMBs): Smaller online stores with low to medium-volume transactions could be deterred by Cybersource’s lengthy and expensive contracts.

Arkose Labs

Script and Bot Attack Mitigation Experts

Arkose Labs was founded in 2015 by Kevin Gosschalk and Matthew Ford, with the goal of applying their combined experience in machine vision technology and game development to fraud detection. 

The successful implementation of their vision can be seen in their trusted clientele, which includes some of the biggest names in digital media and gaming, including EA, Adobe, Dropbox, Microsoft, Snapchat, and Minecraft.


  • Guarantee against automated attacks
  • Reimbursement for credential stuffing losses
  • Anti-web scraping capability


  • Rulesets not immediately customizable
  • Requires a dedicated team

Arkose Labs Pricing

  • Unfortunately, this is not available online. Contact Arkose Labs’ sales team for a quote.

Choose Arkose Labs If

  • You deal with big transaction volumes and are likely to face automated attacks.

Three products comprise Arkose Labs’ main fraud prevention solution: Arkose Detect, Arkose Protect, and Arkose Response. With all three integrated into a company’s security stack, Arkose Labs is so confident in its ability to prevent scaled automated attacks that it offers a Service Level Agreement with up to $1 million in loss reimbursement for successful credential stuffing attacks. 

This unique level of assurance is built off the back of the adaptive step-up challenge security architecture, where users with bot-like behavior are asked to complete puzzles to confirm they are human. This is complemented with fraud detection APIs to assess users based on their devices, IP, or point of connection, and behavioral analytics like velocity checks, which are fully explainable by whitebox machine learning.

Arkose Labs Pros

  • Guarantee against automated attacks: Offers ZeroBot guarantee against automated attacks, effectively controlling ATOs, website scraping, scaled new account fraudsters, and card testing.
  • Reimbursement for credential stuffing losses: Up to $1 million in reimbursement for successful bot attacks.
  • Anti-web scraping capability: As it specializes in automated bot attacks, Arkose Labs also offers website security to protect from data scraping.

Arkose Labs Cons

  • Rulesets not immediately customizable: Arkose’s 24/7 security operations center (SOC) support has to be contacted to implement changes, rather than you being able to adjust sensitivities in the software yourself. 
  • Requires a dedicated team: Despite automation, a dedicated fraud analyst team is necessary for it to function optimally.


Fraud Fighting with Blockchain Tech

Covery is a Maltese company that seeks to provide total fraud prevention, from risk analysis to chargeback prevention, anti-money laundering (AML), and politically exposed person (PEP) screenings. Founded by a group of experienced data scientists and risk managers, Covery’s primary goal is to provide fraud prevention that both secures return on investment (ROI) and gives users peace of mind regarding the appropriate use of their data. 

With those tenets at the forefront, Covery now boasts major clients such as Dow Jones, Ondato, and Visa’s proprietary Verifi authentication service.


  • Blockchain-inspired data storage
  • Versatile integration capabilities
  • Clever tools to mitigate chargebacks


  • Potentially stale data
  • No reverse phone or email lookups

Covery Pricing

  • It’s dubbed “competitive” on the website, but no pricing guide is available without speaking to Covery first.

Choose Covery If

  • You are looking for peace of mind and value all things blockchain.

Inspired by the security of blockchain technology, Covery’s main fraud solution is powered by a huge database of over 400 million reputation records, which it uses to cross-check incoming traffic for fraud identifiers. Covery leverages both data-based risk scoring and reputation databases to run lookups that prevent fraud and provide other services like mitigating the cost of hard Know Your Customer (KYC) checks and precluding chargebacks. 

The Covery product also boasts a high level of user-friendliness. It is easy to integrate into existing CRMs, and existing users appreciate the response time for risk decisions and the customizability of available risk rules.

Covery Pros

  • Blockchain-inspired data storage: Leverages a database of 400 million risk identifiers secured by blockchain technology, called Trustchain.
  • Versatile integration capabilities: Fast returns on API calls, resourceless ML model development tools.
  • Clever tools to mitigate chargebacks: Costs associated with hard KYC and chargebacks are monitored by the Visa Merchant Purchase Inquiry (VMPI) and Ethoca chargeback prevention tools.

Covery Cons

  • Potentially stale data: Although Trustchain checks are conducted in real-time, the actual information contained within does not update in real-time, and is thus less reliable than data sources that do.
  • No reverse phone or email lookups: These data points can generate unique signs of a trustworthy or malicious user, such as an old family email account, or connecting via a virtual phone.


CNP Experts with Telecoms Insight

Doug Fieldhouse originally founded Vesta in 1995, offering payment solutions long before the rise of ecommerce. By leveraging these decades of experience as well as modern software technology, Vesta now specializes in fraud prevention for enterprise businesses with a focus on CNP payments for telecom companies. Vesta’s clients include T-Mobile, Vodafone, AT&T, and EE. 

This vendor’s payment and fraud solutions are based on proprietary ML algorithms, device fingerprinting provided by ThreatMetrix, and patented data analysis tools that utilize a consortium data vault of over two trillion collected data points. The company is so confident in its fraud-stopping capabilities that it offers complete reimbursement for any transaction the system labels as valid that then turns out to be fraudulent. 


  • Moneyback guarantee
  • Huge proprietary databases
  • Extensive experience in telecoms


  • No customizable risk parameters
  • No pattern recognition

Vesta Pricing

  • Pricing info is available from the sales team.

Choose Vesta If

  • Enterprise or not, you’re a telecom business that processes card-not-present payments.

Though specializing in telecommunications, digital wallets, and airlines, Vesta is also offered downscaled for customers who need fraud solutions for individual storefronts on Shopify or Magento. The brand’s payment guarantee model is offered in both enterprise and standard solutions.

Vesta Pros

  • Moneyback guarantee: Vesta reimburses its customers for any false negatives that turn into fraud events.
  • Huge proprietary databases: By partnering with big data brands, Vesta can draw on huge amounts of data for fingerprinting and risk identification.
  • Extensive experience in telecoms: Offers modules specifically for CNP payments in a telecom ecosystem for both individuals and enterprises.

Vesta Cons

  • No customizable risk parameters: Though the risk parameters are expertly tailored to individual companies, the risk rules cannot be adjusted on the fly.
  • No pattern recognition: Insights generated by the software do not look for patterns to detect data anomalies that could indicate an attack or an entire fraud ring. 


Data Science-Powered Prevention

Nethone was incubated in Daftcode’s fintech startup ecosystem. From the outset, Nethone’s goal was to make the internet a “safe and more transparent place for all users.”

The company’s main software solution is Nethone Guard, which utilizes Nethone’s proprietary Profiler technology, gathering over 5,000 data points from each user, including social media profiles and other open source intelligence (OSINT) data. Using a whitebox machine learning model, these data points are used to determine a “here-and-now” risk score during the customer journey to determine customers’ authenticity and intentions. 


  • Dedicated data scientist
  • Whitebox machine learning
  • Extensive fraud databases


  • No free stack integration
  • No social media profiling

Nethone Pricing

  • There are three main plans, two of which have public prices: Essential costs 0.03€ per API request with a 300€ minimum monthly fee, for up to 20k requests. Standard increases the API call price to €0.1 for more features. Premium is only available upon request.

Choose Nethone If

  • You want your fraud prevention decisions to be readable and understandable by humans.

In addition to a user experience (UX) that is designed to let fraud teams make the most informed decisions on manual reviews, Nethone also provides each customer with an assigned data scientist. This expert’s job is to help adjust and design ML rules that further tighten the security of any digital payment infrastructure.

Nethone Pros

  • Dedicated data scientist: Customers are assigned a team member to help adjust and create custom rules.
  • Whitebox machine learning: Provides fraud teams with explainable risk metrics.
  • Extensive fraud databases: The Profiler tool references a huge number of collected data points, including behavioral analytics, social media accounts, and IP and device fingerprinting.

Nethone Cons

  • No free stack integration: Integrating the Nethone fraud solution product into an existing security stack comes at a premium.
  • No social media profiling: Nethone does not utilize digital footprints, which can deliver clear signs of a user’s true intentions.


Leveraging Mastercard’s Transaction Data

While Ekata initially started mostly as an identity verification solution, its acquisition by the payment giant Mastercard in 2021 saw it become the fraud detection software of choice for a number of online retailers. Etsy, AirAsia, and Zillow, for instance, all protect their payments with Ekata.

The Transaction Risk API is probably the most relevant here. It offers data enrichment based on hundreds of data points, such as email addresses, IP locations, email addresses, and phone numbers. Its goal is to give you a better overview of who customers are before they go through with their payment at checkout.


  • Leverages Mastercard’s payment data
  • Graph visualization


  • US-centric

Ekata Pricing

  • Opaque pricing: You won’t be able to calculate your potential ROI until you get a quote from the company’s sales team.

Choose Ekata If

  • You want to identify suspicious transactions as early as possible.

It’s also worth noting that the company’s Account Opening and Pro Insight APIs can help retailers who have a more thorough onboarding process. If you want to build a solid base of loyal customers, verifying their identities – and transactions – with Ekata is a great option.

Ekata Pros:

  • Leverages Mastercard’s payment data: Using the network effect, Ekata can help you spot suspicious transactions before they turn into a chargeback request.
  • Graph visualization: If you suffer from multi-accounting or bonus abuse issues, spotting customer connections with Ekata’s Identity Graph product could help.

Ekata Cons:

  • US-centric: Although Ekata’s data on emerging markets is increasing, it is better suited to ecommerce companies based in North America. 
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Why Invest in Extra Ecommerce Fraud Prevention Software?

Juniper Research forecasts a loss of $50.5 billion to ecommerce fraud by 2024. Every projection and all available data agree that ecommerce companies of all sizes are routine targets for fraudsters these days. Even when criminals aren’t looking to defraud you but instead use a stolen card, it’s still merchants who bear the brunt of it, through chargeback requests from legitimate cardholders.

Ecommerce fraud prevention is the solution, thanks to a handful of ways in which the technology can help:

  • Reduce costs and resources lost to fraud: Having the proper risk management solutions in place can help save on lost items, chargeback fees, and support time dealing with defrauded customers. That’s not to mention return fraud, triangulation fraud, and other tactics that could damage your profits in the long run.
  • Maintain a reasonable chargeback rate: Payment processors will avoid working with stores that process too many chargebacks. Your business could also be downgraded to a high-risk merchant category, which will incur extra charges for processing all card payments.
  • Secure your customers’ accounts: Whether you operate as an online wallet or not, fraudsters will attempt to log in with existing customer details. They may extract personal information, lock your users out, and make payments that will result in chargeback fees for you.
  • Control your brand reputation: If your online store is targeted by fraudsters, you could gain a reputation as an unsafe place to shop and/or amass bad reviews online.
  • Improve the efficiency of your manual reviews: While most ecommerce fraud prevention software is designed to automatically approve or decline actions (logins, payments, or signups), the technology can also help your manual review team gain more information to make better-informed decisions. Some retailers even use the tools to check questions coming from support channels to look out for social engineering attacks.
  • Improve the user experience: Deploying the right fraud detection solution can accelerate the checkout process. When you have risk scores that clearly show a legitimate user, you can reduce the number of verification steps required for them, which makes buying easier and faster.

Choosing the Right Ecommerce Fraud Detection Software

Online stores have always been a major target for fraudsters. And while historically they only attacked retailers dealing in high-end electronics or jewelry, these days, no ecommerce outlet is safe. 

Let’s not forget that a high chargeback rate isn’t just worrying for your bottom line; it could also put you in card network operators’ black books, which would mean a higher transaction fee on every payment.

Luckily, there is an increasing number of ecommerce fraud prevention solutions available for everyone from small to large retailers.

As for how SEON can help in particular, it does so by leveraging unique social and online footprint data. This works behind the scenes to catch suspicious users based on more than the standard steps of fraud prevention – device fingerprinting, velocity checks, and IP analysis.

digital footprint analysis at SEON

This means that you can assess better and faster who’s real and who’s a fraudster. All without introducing any friction to the customer experience.

Even further, if you choose to do so, you can use these insights to segment your users and spot high-value customers, so you can offer extras to retain and keep them happy.


How can you prevent ecommerce fraud?

Fraud in ecommerce can be prevented by deploying fraud detection software designed to avoid chargebacks, protect customer accounts, and help with transaction reviews. 

What are the common types of ecommerce fraud?

Fraudsters often target ecommerce by using stolen credit card details. This leads to high chargeback rates. They also attempt to steal user login credentials, which can lead to an account takeover attack. If you offer bonuses for referrals, you should also look out for multi accounting fraud (when criminals create multiple profiles to reap benefits and rewards) as well as referral fraud.

How do I make the case to invest in ecommerce fraud detection software?

Investing in ecommerce fraud detection software isn’t just about improving your company’s bottom line. It’s also a competitive advantage to retain a low chargeback rate, as card operators such as Visa or Mastercard could charge you more for payments. Protecting accounts is also key to maintaining a good business reputation.


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