# Best E-commerce Fraud Protection Software - Page 13

## How Many E-commerce Fraud Protection Software Products Does G2 Track?

**Total Products under this Category:** 247

### Category Stats (Jul 2026)

- **Average Rating:** 4.44/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Accertify (+10.0%) - Among all products in this category, Accertify recorded the largest rating increase compared to last month

_Last updated: July 25, 2026_

## How Does G2 Rank E-commerce Fraud Protection Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 5,400+ Authentic Reviews
- 247+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for E-commerce Fraud Protection Software
 ![G2 Grid® for E-commerce Fraud Protection Software plotting products by satisfaction and market presence](https://www.g2.com/categories/e-commerce-fraud-protection/grids.png?focus%5B%5D=19742&focus%5B%5D=159197&focus%5B%5D=142377&focus%5B%5D=59143&focus%5B%5D=86142&focus%5B%5D=154498&focus%5B%5D=71077&focus%5B%5D=128880)

Highlighted products: Sift, Chargeflow, Fingerprint, Signifyd, Mastercard Identity Review 360, Wyllo, SEON, and Accertify.

Underlying data: [Grid® JSON](https://www.g2.com/categories/e-commerce-fraud-protection/grids.json?focus%5B%5D=sift-s-ai-powered-fraud-decisioning-platform-sift&focus%5B%5D=chargeflow-inc-chargeflow&focus%5B%5D=fingerprintjs-fingerprint&focus%5B%5D=signifyd&focus%5B%5D=mastercard-identity-review-360&focus%5B%5D=wyllo&focus%5B%5D=seon&focus%5B%5D=accertify)

**Sponsored**

### Profound

Profound helps the world’s biggest brands, including 10% of the Fortune 500, win more business from ChatGPT, Gemini, and other LLMs. With Profound, marketers get the full cycle of insight, action, and measurement. We provide the proprietary data, AI agents, and analytics you need to build high-impact campaigns that improve your visibility in AI search. As a result, teams at Ramp, DocuSign, and Figma use Profound daily to monitor their brand presence, identify high-value opportunities, and deploy AI agents that move the needle for agent engine optimization (AEO). Here’s what you get with Profound: Insights backed by data. Prompt Volumes is a proprietary dataset that creates the first accurate estimation of search conversations on LLMs. This lets you can pinpoint real, high-volume conversations relevant to your business, and inject your brand voice at scale. And, Answer Engine Insights then analyzes your brand's presence across ChatGPT, Perplexity, Gemini, and Copilot, showing how often you're mentioned, how you rank against competitors, sentiment trends, and which platforms drive the most visibility. Opportunities listed by highest potential impact. The Opportunities feature pinpoints where your brand visibility is weakest and tells you exactly what content will help you break into more AI search conversations. Each Opportunity is ranked by effort and impact, from net new content to existing optimizations. Profound Agents to take action autonomously. Agents autonomously use Profound's data to draft highly relevant articles, content briefs, landing pages, and optimizations. Through our integrations, they can notify teams for review via Slack, stage and publish directly in CMSs like WordPress, Sanity, and Contentful, or build presentations with Gamma. Our Agents can also perform deep research, use LLMs, build site maps, and more. Embedded analytics to measure true impact. Agent Analytics tracks what traditional analytics platforms like GA4 and Cloudflare miss. With infrastructure-level monitoring, see how bots and crawlers from AI platforms access your website: which pages crawlers visit, how often they return, and traffic and conversions from real users who were referred to your site via AI search. The Answer Engine Optimization (AEO) platform that drives results. Ramp used Profound to become the 5th most visible fintech brand in the world in a matter of weeks. "Profound allowed us to uncover behavioral patterns that traditional SEO tools couldn't capture. By analyzing long-tail queries in LLMs, we gained data-driven insights that let us run more targeted tests and stay ahead in AI-driven search." — Ashley Nguyen, SEO Strategist at Ramp Join the industry-leading marketing teams using Profound to control how their brands show up in AI search.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=368&secure%5Bchosen_at%5D=2026-07-31T13%3A18%3A57Z&secure%5Bdisplayable_resource_id%5D=1010585&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=retargeted_product&secure%5Bplacement_resource_ids%5D%5B%5D=1384736&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1384736&secure%5Bresource_id%5D=368&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fe-commerce-fraud-protection%3Fpage%3D13&secure%5Btoken%5D=8730fc18a0781143e14706fe6a2c93e04252f649972cec3ede9bf46949855d83&secure%5Burl%5D=https%3A%2F%2Fwww.tryprofound.com%2Fcontact-sales%3Futm_source%3Dg2%26utm_medium%3Dpaid%26utm_campaign%3Dg2-clicks-campaign&secure%5Burl_type%5D=book_demo)

### [Hail Pilot](https://www.g2.com/products/hail-pilot/reviews)

Hail Pilot is an AI-powered post-purchase operations platform for marketplace sellers on Shopee, Lazada, and Amazon in Singapore and Southeast Asia. Dispute defense: Organises evidence, drafts platform responses, and tracks every deadline so sellers respond before auto-refund is approved. Return fraud detection: Cross-merchant image fingerprinting (perceptual hash) flags repeat-abuser evidence photos across the network — without exposing any buyer identity. Margin intelligence: Computes the real per-order profit after platform fees, shipping, vouchers, and GST. Reconciles against Shopee and Lazada settlement CSVs to catch overcharges. Buyer communication copilot: AI-drafted replies to buyer messages in English, Mandarin, and Malay — culturally calibrated for SEA, with tone and face-saving controls. Campaign safety check: Before joining a platform promotion, checks whether the discounted margin still clears your floor — blocking campaigns that would sell at a loss. Built for Singapore and Southeast Asia. No Shopify required.

#### Who Is the Company Behind Hail Pilot?

- **Seller:** [Hail Pilot](https://www.g2.com/sellers/hail-pilot)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ac9280efac1ccb802ec348193fb6dff9af1d31d4011c51feffe88e5c0a4986ff&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhailpilot%2F&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [HardKey License Manager](https://www.g2.com/products/hardkey-license-manager/reviews)

The official Twitter page for Soft112, a software library where you can download free or commercial software.

#### Who Is the Company Behind HardKey License Manager?

- **Seller:** [HardKey License Manager](https://www.g2.com/sellers/hardkey-license-manager)
- **HQ Location:** N/A
- **Twitter:** @freesoft112  
998 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [High Risk Merchant Account](https://www.g2.com/products/high-risk-merchant-account/reviews)

High Risk Merchant Account LLC ( HRMA-LLC ) Provides alternative payment solutions to high risk business, otherwise turned down by traditional banking partners. Products include credit card merchant services and ach processing solutions to accept all forms of payments from customers & clients. Specializing in high volume merchant processing with high monthly volumes falling outside the risk tolerance of traditional banking partners.

#### Who Is the Company Behind High Risk Merchant Account?

- **Seller:** [HRMA-LLC](https://www.g2.com/sellers/hrma-llc)
- **Year Founded:** 2010
- **HQ Location:** Charleston, US
- **Twitter:** @highrisk101  
177 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f1ace49acb97cb030ff829600b7e7a99b53680f8d764e38e2a5937aab5c98f41&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhigh-riak-merchant-account&secure%5Burl_type%5D=linkedin_company_website)  
5 employees on LinkedIn®

### [HiTRUST ACS](https://www.g2.com/products/hitrust-acs/reviews)

Introducing HiTRUST ACS – the pinnacle of online payment security. Our Advanced Authentication system fortifies transactions with multi-factor protection, an OOB app, blending passwords, device recognition, and biometrics. Seamlessly integrating into existing processes, it ensures a frictionless user experience. Compliant with global standards including EMV 3DS Protocol, PCI compliance, and PSD2 compatibility. it offers real-time risk assessment and customizable security policies. In a dynamic cyber landscape, trust HiTRUST ACS to safeguard transactions, providing peace of mind for merchants and customers alike. Elevate your digital payments with confidence and stay ahead of evolving threats.

#### Who Is the Company Behind HiTRUST ACS?

- **Seller:** [HiTrust](https://www.g2.com/sellers/hitrust-1152d069-803f-4497-ac00-9a515237a9dd)
- **Year Founded:** 1993
- **HQ Location:** Taipei, TW
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0441c9805b98be5acd35e50b16b1c4c74296d4f8fd730c3ff2e0a2adf4257d3c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhitrust%2F&secure%5Burl_type%5D=linkedin_company_website)  
127 employees on LinkedIn®

### [Hivecode.io software protection solution](https://www.g2.com/products/hivecode-io-software-protection-solution/reviews)

Hivecode tracks if somebody else is using your sensitive data (emails, phone numbers). Hivecode tracks any unauthorized usage of your web application and prepares all the details about its usage. Hivecode supports advanced integrations. Just use our guide to track access to any of your assets, e.g. source code, computers, documents or any other items you want to track.

#### Who Is the Company Behind Hivecode.io software protection solution?

- **Seller:** [Hivecode.io](https://www.g2.com/sellers/hivecode-io)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [HUMAN Transaction Abuse Defense](https://www.g2.com/products/human-transaction-abuse-defense/reviews)

HUMAN's Transaction Abuse Defense is a sophisticated solution designed to protect online platforms from automated fraudulent activities, including carding, scalping, and inventory hoarding. By leveraging machine learning, intelligent fingerprinting, and behavioral analysis, it effectively detects and mitigates bot-driven transactions, ensuring a secure and seamless user experience. Key Features and Functionality: - Fraudulent Transaction Prevention: Utilizes advanced algorithms to identify and block automated purchases made with stolen credit card information, thereby reducing chargebacks and associated costs. - Scalping and Inventory Hoarding Mitigation: Prevents bots from rapidly purchasing high-demand products for resale, preserving product availability for genuine customers and maintaining brand reputation. - Infrastructure Optimization: Blocks malicious bot traffic at the edge of the network, minimizing bandwidth strain and enhancing website performance. - User Experience Preservation: Employs low-latency technology and user-friendly verification challenges to ensure that security measures do not disrupt legitimate customer interactions. Primary Value and User Solutions: Transaction Abuse Defense addresses critical challenges faced by online businesses by: - Reducing Financial Losses: By stopping automated fraudulent transactions, it minimizes chargebacks, processing costs, and refund fees. - Enhancing Customer Trust: Ensures product availability and a smooth purchasing process, fostering customer satisfaction and loyalty. - Improving Operational Efficiency: By mitigating bot traffic before it reaches application servers, it optimizes infrastructure costs and maintains optimal website performance. In summary, HUMAN's Transaction Abuse Defense provides a comprehensive and proactive approach to safeguarding online transactions, protecting both businesses and their customers from the detrimental effects of automated fraud.

#### Who Is the Company Behind HUMAN Transaction Abuse Defense?

- **Seller:** [HUMAN](https://www.g2.com/sellers/human-0bcafe8b-4414-4bc6-b908-637c2760a3c8)
- **Year Founded:** 2012
- **HQ Location:** New York, NY
- **Twitter:** @SecureWithHUMAN  
3,542 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fb65fff0915a7865b6ffb0dcc52b983d98982aea22688fab0321cae0b2366e4d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhumansecurityinc%2F&secure%5Burl_type%5D=linkedin_company_website)  
523 employees on LinkedIn®

### [IBM Safer Payments](https://www.g2.com/products/ibm-safer-payments/reviews)

IBM Safer Payments puts modern machine learning into the hands of on-site fraud management teams. This enables them to adapt more quickly to changing threats and the introduction of new payment products by dramatically shrinking the time it takes to test and deploy new profiles, rules and models. Using a unique cognitive computing approach, IBM Safer Payments profiles the behavior of any entity and delivers best-fit analytics interactively to fraud professionals. This proven technology is already protecting some of the world's largest and most complex payment portfolios. Out think fraud by rethinking detection.

#### Who Is the Company Behind IBM Safer Payments?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

### [InACT](https://www.g2.com/products/inact/reviews)

InACT is a modular application that monitors and prevents transactional fraud and internal misuse, operational faults and transactions that are contrary to the legislation.

#### Who Is the Company Behind InACT?

- **Seller:** [Asseco](https://www.g2.com/sellers/asseco)
- **Year Founded:** 2007
- **HQ Location:** Warsaw, PL
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=26de5d5b7e9b02c22e6530d1c406e05215d70c63efc27337442957c9dfe479fb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fasseco-south-eastern-europe&secure%5Burl_type%5D=linkedin_company_website)  
2,071 employees on LinkedIn®

### [LEMARIT](https://www.g2.com/products/lemarit/reviews)

LEMARIT partner for professional corporate domain management defends digital reputation, strengthens the company identity.

#### Who Is the Company Behind LEMARIT?

- **Seller:** [LEMARIT](https://www.g2.com/sellers/lemarit)
- **Year Founded:** 2002
- **HQ Location:** Harrislee, DE
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6d3416836668a0b9f2e2ad99743b3346d5203e8e10b60784be66127010a18ff0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FLEMARIT&secure%5Burl_type%5D=linkedin_company_website)  
20 employees on LinkedIn®

### [Level](https://www.g2.com/products/quick-brown-fox-level/reviews)

Cash-on-delivery stores lose money on fake orders, unreachable customers, and high RTO rates. Manual confirmation is slow, inconsistent, and doesn’t scale. Level fixes this by automatically confirming COD orders on WhatsApp - before shipment.

#### Who Is the Company Behind Level?

- **Seller:** [Level](https://www.g2.com/sellers/level-b560079d-5445-4df7-a245-fab9b4bcdd3b)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=548838b90f53c45ad0e3cd1903f10289379aeffaf5d964443c356c399d0576e3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fuselevelhq%2F&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Lexicon AI](https://www.g2.com/products/lexicon-ai/reviews)

Take your business's security to the next level with Lexicon, the AI-driven fraud prevention tool designed to go beyond traditional KYC measures. Decrease fraud by up to 82% with Lexicon’s comprehensive, real-time risk assessment capabilities. Key Features: AI-Enhanced Identity Validation Easily validate customer identities and protect against impersonation fraud with a seamless, efficient process that ensures genuine interactions. Customizable Retail Risk Signals Tailor Lexicon’s risk signals to meet your specific business needs. Define custom rules and leverage Lexicon’s robust retail risk analysis to safeguard your operations. Lexicon provides the essential tools to protect your business, prevent fraud, and streamline customer verification—all in one powerful platform.

#### Who Is the Company Behind Lexicon AI?

- **Seller:** [NewRosetta](https://www.g2.com/sellers/newrosetta)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=159684cf23f267b8460c803047a58e2d28d7a0d723ff91112080c863e9077c37&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fnewrosetta%2F&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

### [LexisNexis FraudPoint](https://www.g2.com/products/lexisnexis-fraudpoint/reviews)

FraudPoint® solutions allow organizations to identify fraud incidents before the application is booked — detecting synthetic identity and other types of fraud resulting in significantly reduced fraud incidents and losses. FraudPoint minimizes administrative costs associated with inefficient and unnecessary investigation to improve your bottom line. FraudPoint helps you identify an applicant's risk and delivers an intelligent fraud prevention strategy using digital insights that can: • Increase profits by realizing faster customer acquisition • Reduce operating costs • Reduce fraudulent write-offs • Minimize unnecessary delays in approvals for legitimate customers • Streamline decisions to increase operational efficiencies • Lower false positives

#### Who Is the Company Behind LexisNexis FraudPoint?

- **Seller:** [LexisNexis Risk Solutions](https://www.g2.com/sellers/lexisnexis-risk-solutions)
- **HQ Location:** Alpharetta, Georgia, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=410738a2466e910e046daa6666cfd545df8be397c0ff2f0875b6ff5d4bc1cc63&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flexisnexis-risk-solutions&secure%5Burl_type%5D=linkedin_company_website)  
9,858 employees on LinkedIn®

### [LexisNexis Mortgage Industry Data Exchange (MIDEX)](https://www.g2.com/products/lexisnexis-mortgage-industry-data-exchange-midex/reviews)

We developed the Mortgage Industry Data Exchange (MIDEX) as a powerful tool used to help subscribers defend against mortgage fraud, streamline professional credentialing and identity verification, and more.

#### Who Is the Company Behind LexisNexis Mortgage Industry Data Exchange (MIDEX)?

- **Seller:** [LexisNexis](https://www.g2.com/sellers/lexisnexis)
- **Year Founded:** 1970
- **HQ Location:** New York
- **Twitter:** @NexisSolutions  
1,258 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2640972e8815f9e9e14be927e5c9a5d72a476b76190664d86c26e5c3db12a17d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flexisnexis%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,695 employees on LinkedIn®

### [LexisNexis Order Score](https://www.g2.com/products/lexisnexis-order-score/reviews)

LexisNexis Order Score delivers a single score derived from public record information, identity characteristics, and connection method to assess the fraud risk of online retail orders.

#### Who Is the Company Behind LexisNexis Order Score?

- **Seller:** [LexisNexis](https://www.g2.com/sellers/lexisnexis)
- **Year Founded:** 1970
- **HQ Location:** New York
- **Twitter:** @NexisSolutions  
1,258 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2640972e8815f9e9e14be927e5c9a5d72a476b76190664d86c26e5c3db12a17d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flexisnexis%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,695 employees on LinkedIn®

### [LexisNexis Premises Association Report and Score](https://www.g2.com/products/lexisnexis-premises-association-report-and-score/reviews)

LexisNexis Premises Association Report & Score delivers insight to help you quickly determine the likelihood an applicant is associated to a particular address and make well-informed business decisions.

#### Who Is the Company Behind LexisNexis Premises Association Report and Score?

- **Seller:** [LexisNexis](https://www.g2.com/sellers/lexisnexis)
- **Year Founded:** 1970
- **HQ Location:** New York
- **Twitter:** @NexisSolutions  
1,258 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2640972e8815f9e9e14be927e5c9a5d72a476b76190664d86c26e5c3db12a17d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flexisnexis%2F&secure%5Burl_type%5D=linkedin_company_website)  
9,695 employees on LinkedIn®

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[Browse E-commerce Fraud Protection Themes](/categories/e-commerce-fraud-protection/themes)

 ![Subhransu Sahu](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Subhransu Sahu")
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Researched and written by [Subhransu Sahu](https://research.g2.com/insights/author/subhransu-sahu)

Updated April 9, 2026

E-commerce fraud protection software helps online businesses detect high-risk transactions, analyze risk factors, and reduce exposure to fraudulent orders and payments. These tools apply algorithm-based analysis to assess transaction risk and prevent chargebacks and lost revenue.

### Core Capabilities of E-commerce Fraud Protection Software

To qualify for inclusion in the E-commerce Fraud Protection category, a product must:

- Provide algorithms to monitor for possible fraudulent or high-risk online activity
- Define rules to identify and analyze suspicious e-commerce purchasing behavior
- Include workflows to review, approve, or decline high-risk e-commerce transactions
- Comply with regulations to prevent online fraud and protect sensitive information
- Deliver reports and insights on reviewed transactions, chargebacks, and false declines

### How E-commerce Fraud Protection Software Differs from Other Tools

These tools focus specifically on preventing fraudulent online purchases by analyzing transaction-level signals and behavioral anomalies. Unlike general [web security](https://www.g2.com/categories/web-security) or [e-commerce platforms](https://www.g2.com/categories/e-commerce-platforms), fraud protection software evaluates each transaction in real time to reduce chargebacks and false declines.

### Insights from G2 on E-commerce Fraud Protection Software

Based on category trends on G2, accurate fraud detection, reduction in chargebacks, and seamless integrations with [shopping carts](https://www.g2.com/categories/shopping-cart) and payment systems as key benefits. These platforms also value customizable rules and workflow tools for approving or rejecting suspicious transactions.

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## How Do You Choose the Right E-commerce Fraud Protection Software?

### What You Should Know About E-commerce Fraud Protection Software

### E-commerce fraud protection software buying insights at a glance

[E-commerce fraud protection software](https://www.g2.com/categories/e-commerce-fraud-protection) helps online merchants, financial institutions, and digital businesses detect, prevent, and respond to fraudulent activity across transactions, account access, and identity verification. As digital commerce continues to expand and fraud tactics grow more sophisticated, this category has become critical infrastructure for any revenue team that cannot afford chargebacks, account takeovers, or the long-term damage of accepting bad orders. 

The best e-commerce fraud protection software combines machine learning models, device intelligence, behavioral signals, and real-time decisioning to stop fraud before it reaches fulfillment while keeping checkout friction low for legitimate customers. Many buyers also evaluate[](https://www.g2.com/categories/identity-verification)[identity verification](https://www.g2.com/categories/identity-verification) and[bot detection & mitigation](https://www.g2.com/categories/bot-detection-and-mitigation) software in parallel, as these categories address the same threat surface at different points in the customer journey.

Buyers across financial services, retail, apparel, travel, and gaming rely on e-commerce fraud prevention software to automate manual review queues, reduce false positive rates, and protect revenue without adding operational headcount. Common use cases include chargeback dispute management, promo abuse prevention, account takeover detection, identity verification at onboarding, and real-time transaction scoring. 

Teams that implement these tools consistently report reclaimed hours from manual review, higher order approval rates for good customers, and measurable reductions in fraud-related losses. The right e-commerce fraud detection software typically pays for itself quickly, especially for merchants facing elevated chargeback rates or operating in high-risk verticals. Many organizations deploy these tools as a layer on top of their[](https://www.g2.com/categories/payment-processing)[payment processing](https://www.g2.com/categories/payment-processing) infrastructure and alongside their [e-commerce platform](https://www.g2.com/categories/e-commerce-platforms), making integration compatibility a key evaluation criterion.

Pricing varies significantly based on transaction volume, the number of fraud signals required, and whether the vendor charges per decision, per review, or as a percentage of recovered revenue. Chargeback-focused platforms often use a success-based model tied to dispute wins, while device intelligence and identity verification tools tend to price on API call volume or monthly active users. Enterprise deployments with custom risk rules, dedicated implementation support, and SLA guarantees command higher rates, while SMB-oriented tools offer flat-rate tiers. 

Evaluating total cost of ownership means factoring in integration effort, false positive costs (i.e., lost revenue from declined good orders), and ongoing rule-tuning requirements. Teams building a more comprehensive access and identity strategy may also find overlap with[](https://www.g2.com/categories/customer-identity-and-access-management)[customer identity & access management (CIAM)](https://www.g2.com/categories/customer-identity-and-access-management) and[](https://www.g2.com/categories/risk-based-authentication)[risk-based authentication](https://www.g2.com/categories/risk-based-authentication) software, depending on how their fraud stack is architected.

### **Top 5 FAQs from software buyers**

- What features should I look for in the best e-commerce fraud protection software?
- How does e-commerce fraud detection software score transactions in real time without adding checkout friction?
- What is e-commerce fraud protection software, and how does it differ from a basic payment gateway's built-in fraud filters?
- How do e-commerce fraud prevention software platforms handle chargeback disputes and guarantee programs?
- How long does implementation take, and what level of technical expertise is required to tune fraud rules?

G2's top-rated E-commerce Fraud Protection Software includes  [Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews), [Mastercard Identity Review 360](https://www.g2.com/products/mastercard-identity-review-360/reviews), [Signifyd](https://www.g2.com/products/signifyd/reviews), [NoFraud](https://www.g2.com/products/nofraud/reviews), and [Chargeflow](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews). [(Source 2)](https://company.g2.com/news/g2-winter-2026-reports)

### What are the top-reviewed AI Agent Builders on G2?

[Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews)

- **Number of Reviews:** 307
- **Satisfaction:** 98
- **Market Presence:** 70
- **G2 Score:** 84

[Mastercard Identity Review 360](https://www.g2.com/products/mastercard-identity-review-360/reviews)

- **Number of Reviews:** 59
- **Satisfaction:** 71
- **Market Presence:** 95]
- **G2 Score:** 83

[Signifyd](https://www.g2.com/products/signifyd/reviews)

- **Number of Reviews:** 311
- **Satisfaction:** 88
- **Market Presence:** 79
- **G2 Score:** 83

[NoFraud](https://www.g2.com/products/nofraud/reviews)

- **Number of Reviews:** 208
- **Satisfaction:** 90
- **Market Presence:** 60
- **G2 Score:** 75

[Chargeflow](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews)

- **Number of Reviews:** 37
- **Satisfaction:** 81
- **Market Presence:** 52
- **G2 Score:** 67

**Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports))

**Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports))

**G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports))

Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..))

### What I Often See in E-Commerce Fraud Protection Software

#### **Feedback Pros: What Users Consistently Appreciate**

- **Machine learning models surface suspicious signals and reduce manual transaction review**
- _"I use Fingerprint primarily for its ability to add a crucial layer of fraud prevention on the web stores I manage, helping to identify suspicious behavior beyond the site's native risk analysis. Its ability to recognize returning devices, even when users change IPs or attempt to check out with different emails, has been particularly valuable for identifying patterns tied to fraudulent orders. I appreciate the visibility it provides when reviewing potentially risky activities, allowing us to see if multiple checkout attempts are tied to the same device, which boosts our confidence in decision-making. Fingerprint has improved our process by adding context across sessions, helping us identify card-testing behavior and significantly reducing the time spent manually investigating suspicious activity. The additional context helps us avoid guesswork, ensuring we catch actual fraud attempts while making our fulfillment process smoother."_ - [Daniel Becerra,](https://www.g2.com/products/fingerprintjs-fingerprint/reviews/fingerprint-review-12405335) Fingerprint Review
- **Seamless API integration into existing checkout and payment workflows with minimal friction**
- _"What I like most about Shufti Pro is how easy and intuitive the platform is to use. The interface is clean and straightforward, which makes it simple for our team to get started without a steep learning curve. Integration with our existing systems was smooth, and the API worked well within our workflow. I also appreciate how it streamlines identity and document verification, speeding up customer onboarding and reducing friction during the signup process. Overall, it has helped us handle compliance requirements more efficiently while maintaining a seamless user experience."_ - [Miluska Oré](https://www.g2.com/products/shufti/reviews/shufti-review-12402832), Shufti Review  
- **Responsive support teams engage directly during setup and ongoing rule tuning**
- _"Customer support has been responsive and knowledgeable, helping resolve our questions quickly and making the onboarding process smooth. Chargeflow offers a strong set of features without feeling overwhelming, covering everything needed for effective chargeback management."_ - [Verified User](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews/chargeflow-review-12093588), Chargeflow Review

#### **Cons: Where Many Platforms Fall Short**

- **False positives occasionally decline legitimate orders, causing lost revenue and customer friction**
- _"One area that could be improved is the complexity of setup and integration. It takes time to fine-tune rules and connect with existing systems. Another challenge is balancing strict fraud detection with minimizing false positives; sometimes legitimate transactions get flagged, which can frustrate customers. Reporting could also be more customizable to make insights easier to tailor for different teams."_ - [Hilla Filla](https://www.g2.com/products/dynamics-365-fraud-protection/reviews/dynamics-365-fraud-protection-review-12298141), Dynamics 365 Fraud Protection Review 
- **Advanced rule customization requires significant technical effort and ongoing maintenance**
- _"One notable drawback is that manual reviews can sometimes take longer during busy periods, which may cause minor delays in order processing. Furthermore, the platform would benefit from offering more advanced customization of rules and more detailed reporting options, which would enhance its appeal for power users."_ - [Verified User](https://www.g2.com/products/clearsale/reviews/clearsale-review-12190401), ClearSale Review 
- **Pricing structure becomes costly at scale, especially for high-volume merchants with thin margins**
- _"While the identification accuracy is strong, pricing can scale quickly depending on traffic volume, which may be a consideration for high-traffic campaigns or large e-commerce clients. It requires careful forecasting to avoid unexpected cost increases."_ - [Mayank Modi](https://www.g2.com/products/fingerprintjs-fingerprint/reviews/fingerprint-review-12347984), Fingerprint Review 

### My Expert Takeaway on E-commerce fraud protection software

E-commerce fraud protection software delivers its greatest value when teams treat it as a living system rather than a one-time configuration. The best ecommerce fraud prevention software has matured well beyond rule-based blocklists; today’s leading platforms combine device fingerprinting, behavioral analytics, machine learning models, and chargeback automation into cohesive risk infrastructure.

High-performing teams get the most from e-commerce fraud detection software when they invest in calibration, not just deployment. Out-of-the-box models capture a significant share of obvious fraud, but the merchants who see the highest approval rates and lowest false-positive rates are those who feed the model signals, dispute outcomes, manual review decisions, and customer contact data to sharpen it over time. Power users in Financial Services, Retail, and Apparel consistently highlight the value of real-time decisioning that doesn't sacrifice legitimate revenue. Several reviewers from Retail and Consumer Goods merchants specifically call out the reduction in manual review queues as transformative, freeing operations teams to focus on customer experience improvements rather than order screening. Teams using a connected [order management system](https://www.g2.com/categories/order-management) report faster feedback loops between fulfillment data and fraud model updates, significantly accelerating calibration.

Two patterns stand out across high-growth verticals. First, merchants in Gambling, Travel, and high-velocity e-commerce who face elevated fraud rates tend to prioritize platform flexibility, the ability to build and modify custom risk rules without engineering cycles. Second, teams in Financial Services and Banking frequently cite identity verification quality and regulatory readiness as selection criteria, not just fraud hit rates. 

This bifurcation explains why the market supports distinct platform types: transaction-focused tools (Signifyd, NoFraud) that optimize order approval rates, device intelligence platforms (Fingerprint) that protect account-level flows, [fraud detection](https://www.g2.com/categories/fraud-detection) tools that operate at the network and behavioral layer, and chargeback recovery tools (Chargeflow) that operate downstream of the transaction. The quality of support earns strong scores across reviews, which matters; implementation complexity and ongoing rule tuning mean that vendor responsiveness is not a nice-to-have but a material factor in whether teams achieve full ROI.

### E-commerce fraud protection software FAQs

#### How do you choose e-commerce fraud prevention software?

Choosing the right e-commerce fraud prevention software depends on your transaction volume, risk profile, technical resources, and how much manual review your team can sustain. Buyers typically evaluate platforms across several dimensions:

- Detection methods, whether the platform uses machine learning, rules-based logic, device fingerprinting, or a combination
- Order approval rate vs. fraud rate trade-off: how well the tool minimizes false positives without letting bad orders through
- Chargeback liability, whether the vendor offers a financial guarantee on approved orders
- Integration depth, compatibility with your existing payment stack, OMS, or CRM
- Ease of rule customization, whether risk teams can tune models without engineering cycles
- Support quality, responsiveness during implementation, and ongoing escalations

The best e-commerce fraud protection software balances automated decisioning with enough transparency for your team to understand why orders are approved or declined, and to adjust when your fraud patterns change.

#### How do you prevent fraud in e-commerce?

Preventing fraud in e-commerce requires a layered approach that addresses risk at multiple points in the customer journey, from account creation and login through checkout and post-purchase disputes.

Key prevention strategies include:

- Device intelligence and fingerprinting to detect repeat fraudsters across sessions
- Behavioral analytics to flag anomalies in how users interact with checkout flows
- Identity verification at account creation or high-risk transaction thresholds
- Real-time transaction scoring using machine learning models trained on fraud patterns
- Chargeback monitoring to identify patterns tied to specific SKUs, geographies, or customer segments

Platforms purpose-built for e-commerce fraud prevention, such as Sift, Signifyd, NoFraud, Riskified, and Forter, combine several of these layers into a single decisioning engine, reducing reliance on manual review while maintaining high approval rates for legitimate customers.

#### What is the best anti-fraud system for medium-sized e-commerce businesses?

Medium-sized e-commerce businesses typically need a fraud prevention platform that offers strong automation, a manageable implementation lift, and pricing that scales with transaction volume without requiring enterprise-level contracts.

Platforms commonly evaluated by mid-market merchants include:

- [Signifyd](https://www.g2.com/products/signifyd/reviews) offers a chargeback guarantee and automated order decisioning suited for merchants with established order volumes.
- [NoFraud](https://www.g2.com/products/nofraud/reviews) provides real-time fraud decisions with a financial guarantee, designed to minimize manual review for growing retail operations.
- [Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews) combines transaction fraud, account takeover, and dispute management in a single platform, often used by mid-market digital commerce teams.
- [ClearSale](https://www.g2.com/products/clearsale/reviews) specializes in fraud protection, focusing on approval rate optimization, particularly for merchants concerned about false positives.
- [SEON.](https://www.g2.com/products/seon-fraud-fighters/reviews)[Fraud Fighters](https://www.g2.com/products/seon-fraud-fighters/reviews) offers flexible, modular fraud detection with transparent scoring logic, well-suited for teams that want customization without heavy implementation requirements.

The best fit depends on your order mix, chargeback history, and whether you prioritize a hands-off automated approach or a more configurable rules engine.

#### What are the top e-commerce fraud prevention tools for large businesses?

Large e-commerce operations require fraud prevention platforms that can handle high transaction volumes, support complex risk rule logic across multiple geographies, and integrate with enterprise-grade payment and order management infrastructure.

Tools frequently used by large-scale merchants and platforms include:

- [Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews) is widely used by high-volume digital businesses for transaction fraud, account security, and dispute management at scale.
- [Forter](https://www.g2.com/products/forter/reviews) provides real-time identity-based fraud prevention with a chargeback guarantee, built for enterprise e-commerce and marketplace platforms.
- [Riskified](https://www.g2.com/products/riskified/reviews) offers machine learning-driven order decisioning and a chargeback guarantee, with deep integrations for large retail and luxury commerce operations.
- [Signifyd](https://www.g2.com/products/signifyd/reviews) supports enterprise merchants with automated order protection, chargeback coverage, and global fraud network data.
- [Mastercard Identity Review 360](https://www.g2.com/products/mastercard-identity-review-360/reviews) provides identity verification and fraud intelligence, backed by Mastercard’s global transaction network, and is suited for large financial services and commerce platforms.
- [Kount](https://www.g2.com/products/kount/reviews), an Equifax company offering identity trust and fraud prevention for high-volume merchants that require deep data enrichment.

Enterprise buyers should prioritize platforms that offer dedicated implementation support, SLA-backed response times, and the ability to customize decisioning logic for specific verticals or market segments.

#### What’s the best e-commerce fraud protection for small online stores?

Small online stores need fraud protection that is affordable, easy to implement without a dedicated technical team, and capable of making accurate fraud decisions out of the box , without requiring extensive rule tuning.

Platforms commonly used by small merchants include:

- [NoFraud](https://www.g2.com/products/nofraud/reviews) provides automated fraud screening with a financial guarantee and minimal setup requirements, making it accessible for smaller operations.
- [Chargeflow](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews) automates chargeback dispute management, helping small merchants recover revenue without dedicating staff to dispute workflows.
- [Token of Trust](https://www.g2.com/products/token-of-trust/reviews) offers identity verification and buyer trust tools designed for smaller stores that need compliance-ready verification without complex integration.
- [SEON](https://www.g2.com/products/seon-fraud-fighters/reviews)[Fraud Fighters](https://www.g2.com/products/seon-fraud-fighters/reviews) offers modular fraud detection with pay-as-you-go pricing, making it viable for merchants with lower transaction volumes.
- [Fingerprint](https://www.g2.com/products/fingerprintjs-fingerprint/reviews) delivers accurate device identification to prevent promo abuse and account fraud, with a straightforward API setup suited to lean technical teams.

For small stores, the most important factors are transparent pricing, quick time-to-value, and reliable customer support during onboarding.

#### Which fraud protection software is best for mobile e-commerce?

Mobile e-commerce introduces distinct fraud vectors, including emulator-based attacks, SIM swapping, promo abuse via multiple device registrations, and account takeover via credential stuffing in mobile apps. The best ecommerce fraud detection software for mobile environments addresses these risks at the device and behavioral layer, not just at transaction time.

Platforms with strong mobile fraud prevention capabilities include:

- [Fingerprint](https://www.g2.com/products/fingerprintjs-fingerprint/reviews) provides highly accurate device identification for mobile browsers and native apps, making it effective for detecting repeat fraudsters and promo abusers across devices.
- [Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews) covers mobile account takeover and payment fraud with behavioral signals designed for mobile-first digital products.
- [Sumsub](https://www.g2.com/products/sumsub/reviews) offers mobile-optimized identity verification and KYC flows, useful for platforms that need to verify users during mobile onboarding.
- [Veriff](https://www.g2.com/products/veriff/reviews) provides AI-powered identity verification with a mobile-native experience, commonly used for onboarding verification in mobile commerce and fintech apps.
- [Prove](https://www.g2.com/products/prove/reviews) specializes in phone-based identity verification, using carrier data to authenticate users in mobile checkout and account creation flows.

Mobile fraud prevention works best when device intelligence, behavioral signals, and identity verification are layered together, rather than relying on any single signal to make a decision.

### Sources

1. [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw)
2. [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports)

Researched By: [Subhransu Sahu](https://research.g2.com/insights/author/subhransu-sahu)

Last updated on March 16, 2026