Claire FountainIn today’s digital landscape, businesses face an ever-growing threat of fraud, whether that be theft that requires a DMCA takedown or false purchases, that can compromise revenue, data, and customer trust.
Fraud detection software has become an essential tool for protecting transactions, preventing chargebacks, and identifying suspicious activities in real time. So we found the best options for you.
Whether you’re an e-commerce business or a global enterprise, these tools offer powerful solutions to keep fraud at bay while keeping operations efficient.
And if you do need to perform a DMCA takedown, check out our list of DMCA takedown services or even try out our own DMCA takedown service.
Our Favourite Fraud Detection Software Solutions
- ClearSale – Best for automated fraud checks on payment transactions.
- SEON. Fraud Fighters – Best for enterprise-grade solutions and data analysis expertise.
- Signifyd – Best for e-commerce fraud protection guarantees.
- Riskified – Best for chargeback prevention and fraud loss reduction.
- Onfido – Best for AI-driven identity verification.
- NoFraud – Best for real-time transaction analysis.
- TruValidate – Best for holistic identity and fraud prevention.
- DataDome – Best for bot and scraping fraud protection.
- Eye4Fraud – Best for small-to-medium e-commerce businesses.
- IPQualityScore – Best for fraud scoring and IP verification.
- Fraud.net – Best for advanced AI-powered fraud prevention.
- Sift – Best for machine learning-based fraud detection.
- ThreatMetrix – Best for digital identity insights.
- LexisNexis Risk Solutions – Best for comprehensive risk assessment tools.
Table of Contents
- Our Favourite Fraud Detection Software Solutions
- How We Chose These Platforms
- 1. Clear Sale
- 2. SEON. Fraud Fighters
- 3. Signifyd
- 4. Riskified
- 5. Onfido
- 6. NoFraud
- 7. TruValidate
- 8. DataDome
- 9. Eye4Fraud
- 10. IPQualityScore
- 11. Fraud.net
- 12. Sift
- 13. ThreatMetrix
- 14. LexisNexis Risk Solutions
- What Is Fraud Detection Software?
- How Does Fraud Detection Software Work?
- Features to Look for in Fraud Detection Software
- Frequently Asked Questions
We offer this website completely free to our visitors. To help pay the bills, we’ll often (but not always) set up affiliate relationships with the top providers after selecting our favorites. However, we do our best not to let this impact our choices. There are plenty of high-paying companies we’ve turned down because we didn’t like their product.
An added benefit of our relationships is that we always try to negotiate exclusive discounts for our visitors.
Platform name | Best For | Our Rating (Out of 5) | Price |
|---|---|---|---|
| Clear Sale | Automated fraud checks on payment transactions | Custom | |
| SEON. Fraud Fighters | Enterprise-grade solutions and data analysis expertise | Starts at $99/mo | |
| Signifyd | E-commerce fraud protection guarantees | Custom | |
| Riskified | Chargeback prevention and fraud loss reduction | Custom | |
| Onfido | AI-driven identity verification | Starts at $1 per check | |
| NoFraud | Real-time transaction analysis | Custom | |
| TruValidate | Holistic identity and fraud prevention | Custom | |
| DataDome | Bot and scraping fraud protection | Custom | |
| Eye4Fraud | Small-to-medium e-commerce businesses | Custom | |
| IPQualityScore | Fraud scoring and IP verification | Custom | |
| Fraud.net | Advanced AI-powered fraud prevention | Custom | |
| Sift | Machine learning-based fraud detection | Custom | |
| ThreatMetrix | Digital identity insights | Custom | |
| LexisNexis Risk Solutions | Comprehensive risk assessment tools | Custom |
How We Chose These Platforms
We evaluated these tools based on:
- Accuracy: Ability to detect and prevent fraud effectively.
- Ease of Use: Intuitive interfaces and robust integrations.
- Scalability: Suitability for businesses of all sizes.
- Cost-Effectiveness: Transparent pricing and value for money.
- Reliability: Consistent performance and minimal false positives to ensure dependable fraud detection.
1. Clear Sale
Best for automated fraud checks on payment transactions – 5/5
ClearSale is a fraud detection platform tailored for e-commerce businesses that provides automated fraud checks to prevent chargebacks and ensure smooth transactions.
Its key feature is its AI-powered system that evaluates payment transactions in real time, flagging suspicious activity while reducing false declines.
ClearSale also offers a manual review process for high-risk transactions, ensuring accuracy.
Pros
- Effective chargeback prevention
- AI and manual review integration
- Real-time fraud detection
- Excellent customer support
Cons
- Pricing structure not transparent
- Slower resolution for some cases
- Manual reviews may delay order processing
2. SEON. Fraud Fighters
Best for enterprise-grade solutions and data analysis expertise – 4/5
SEON offers powerful fraud prevention tools, leveraging machine learning and advanced data analytics to detect fraudulent activity.
Its modular approach allows businesses to choose only the features they need, making it versatile. SEON is ideal for enterprises looking to integrate data enrichment and fraud prevention.
Pros
- Comprehensive data analysis
- Flexible, modular features
- Scalable for large enterprises
- Affordable for small businesses
Cons
- Learning curve for advanced features
- Limited customer support options
- Integration challenges for legacy systems
3. Signifyd
Best for e-commerce fraud protection guarantees – 5/5
Signifyd stands out for its “fraud protection guarantee,” ensuring businesses are compensated for fraudulent chargebacks.
Designed specifically for e-commerce businesses, it provides seamless integration with popular platforms like Shopify and Magento. Its AI-powered system reviews transactions in real-time, protecting revenue without compromising user experience.
Pros
- Fraud protection guarantee
- Real-time transaction analysis
- Easy integration with e-commerce platforms
- Enhances customer trust
Cons
- Higher costs for small businesses
- Limited customization options
- Requires internet speed for optimal performance
4. Riskified
Best for chargeback prevention and fraud loss reduction – 4/5
Riskified uses machine learning to enhance e-commerce fraud prevention, focusing on reducing chargebacks while maximizing revenue.
Its AI algorithms analyze transactions and user behavior, accurately identifying fraudulent patterns. Riskified also offers a chargeback guarantee to protect merchants.
Pros
- Chargeback guarantee
- Real-time fraud detection
- High accuracy in identifying fraud patterns
- Intuitive dashboard for analytics
Cons
- Expensive for small businesses
- Limited trial features
- Integration may require technical expertise
5. Onfido
Best for AI-driven identity verification – 4/5
Onfido specializes in identity verification, using AI and biometrics to confirm user authenticity.
Its technology verifies government IDs, facial recognition, and even behavioral patterns. This makes it ideal for industries requiring strict identity checks, such as finance or healthcare.
Pros
- AI and biometrics integration
- Fast and accurate verification
- Ideal for compliance-heavy industries
- Scalable for businesses of all sizes
Cons
- Expensive for high-volume checks
- Limited fraud detection beyond ID verification
- Complex setup for non-technical users
6. NoFraud
Best for real-time transaction analysis – 4.5/5
NoFraud specializes in real-time fraud detection, allowing businesses to instantly identify and prevent fraudulent transactions without disrupting customer experience.
Its AI-driven platform evaluates each transaction for suspicious activity, ensuring legitimate users aren't falsely declined.
With seamless integrations into multiple other processes and detailed reporting, NoFraud is ideal for businesses prioritizing immediate action against fraud.
Pros
- Instant fraud detection and prevention
- Seamless integrations with popular platforms
- User-friendly interface with detailed reports
- Minimal false positives, reducing customer friction
Cons
- Custom pricing may not suit smaller businesses
- Limited advanced features compared to larger platforms
- Requires some technical knowledge for optimal setup
7. TruValidate
Best for holistic identity and fraud prevention – 4/5
TruValidate offers a comprehensive suite of tools to protect businesses against fraud by verifying user identities and preventing unauthorized access.
It uses AI and behavioral analytics to detect anomalies in real-time, making it a versatile solution for a whole range of industries.
TruValidate is especially useful for organizations needing a robust identity verification process.
Pros
- Combines identity verification with fraud detection
- Behavioural analytics for precise risk assessment
- Scalable for businesses of all sizes
- Easy integration with enterprise systems
Cons
- Pricing details not disclosed
- Complex interface for beginners
- Limited customization options
8. DataDome
Best for bot and scraping fraud protection – 4.5/5
DataDome is focused on protecting websites, APIs, and mobile apps from bot attacks and scraping activities.
Its AI-powered system analyzes traffic in real-time to differentiate between genuine users and malicious bots. Businesses get the benefits of reduced data theft, improved website performance, and enhanced security for sensitive customer information.
Pros
- Robust bot detection and prevention
- Real-time traffic monitoring for instant protection
- Supports APIs, web apps, and mobile platforms
- Improves site performance by blocking harmful traffic
Cons
- Requires advanced setup for full functionality
- Pricing tailored to enterprise needs
- May not cater to businesses with limited technical resources
9. Eye4Fraud
Best for small-to-medium e-commerce businesses – 4/5
Eye4Fraud provides a tailored fraud detection solution specifically for small-to-medium e-commerce businesses.
Its platform comes with real-time transaction monitoring and manual review services to ensure accuracy.
By focusing specifically on e-commerce needs, Eye4Fraud helps smaller businesses maintain security without sacrificing customer experience.
Pros
- Affordable and tailored for SMBs
- Manual review option ensures accurate fraud detection
- Easy to use with minimal setup required
- Protects revenue without disrupting legitimate transactions
Cons
- Limited scalability for larger businesses
- No advanced machine learning capabilities
- Manual reviews can delay processing times
10. IPQualityScore
Best for Fraud scoring and IP verification – 4.5/5
IPQualityScore is a robust tool for analyzing and scoring IP addresses to detect fraudulent behavior.
Its platform identifies suspicious patterns, proxies, and high-risk activities to prevent fraud before it occurs.
This software tool is perfect for businesses relying heavily on digital transactions and account security.
Pros
- Accurate fraud scoring system
- Detects proxies, VPNs, and suspicious IPs
- Flexible API for easy integration
- Works across multiple use cases, including account security
Cons
- May require technical expertise for setup
- Pricing tailored to enterprise needs
- Limited additional features beyond IP analysis
11. Fraud.net
Best for advanced AI-powered fraud prevention – 4.5/5
Fraud.net leverages advanced AI and machine learning to provide a centralized platform for fraud prevention.
Its system analyzes transactions, user behavior, and network traffic to detect anomalies in real-time.
This tool is especially great for industries like finance, e-commerce, and travel, where fraud risks are high.
Pros
- Advanced AI and machine learning capabilities
- Centralized platform for fraud and risk management
- Real-time fraud detection with detailed reporting
- Scalable for large enterprises
Cons
- Steep learning curve for beginners
- Higher cost for smaller businesses
- Requires integration with existing systems
12. Sift
Best for machine learning-based fraud detection – 4/5
Sift uses machine learning to detect and prevent fraudulent activities by analyzing user behavior and transaction patterns.
The software’s intuitive dashboard provides actionable insights, making it a powerful tool for fraud prevention. Sift is an amazing machine-learning option for businesses seeking an adaptive, data-driven solution.
Pros
- Machine learning for adaptive fraud detection
- Intuitive dashboard for real-time insights
- Scalable for businesses of all sizes
- Strong focus on behavioral analysis
Cons
- High costs for advanced features
- Limited customization options
- May require technical expertise for setup
13. ThreatMetrix
Best for digital identity insights – 4/5
ThreatMetrix is able to verify digital identities and detect fraudulent behavior using real-time analytics.
Its advanced global identity network allows businesses to assess transaction risks based on device, location, and user behavior. ThreatMetrix is especially valuable for businesses operating across multiple regions or ones with global reach.
Pros
- Extensive global identity network
- Real-time risk assessment and analytics
- Effective for cross-border transactions
- Protects against account takeovers and fraud
Cons
- Complex setup for new users
- Higher costs for smaller businesses
- Limited support for non-enterprise users
14. LexisNexis Risk Solutions
Best for comprehensive risk assessment tools – 4.5/5
LexisNexis Risk Solutions provides an all-in-one platform for fraud prevention and risk assessment.
Its wide range of tools includes ThreatMetrix and leverages AI, big data, and analytics to offer businesses a holistic view of risk. This makes it particularly effective for industries like banking, insurance, and healthcare that demand stringent compliance and security.
Pros
- Comprehensive risk assessment capabilities
- Integrates AI and big data for precise fraud detection
- Ideal for compliance-heavy industries
- Scalable for enterprises of all sizes
Cons
- Pricing not disclosed
- Advanced features may be overkill for SMBs
- Steep learning curve for beginners
What Is Fraud Detection Software?
Fraud detection software is a specialized tool designed to identify and prevent fraudulent activities across different platforms, such as e-commerce, banking, or online services. It uses advanced algorithms, machine learning, and data analysis to flag suspicious transactions, behaviors, or patterns.
Businesses use these tools to reduce financial losses, safeguard sensitive information, and maintain customer trust. By automating the fraud prevention process, this software improves operational efficiency and risk management.
How Does Fraud Detection Software Work?
Fraud detection software works by analyzing user behavior, transaction data, and network patterns to identify anomalies that could indicate fraudulent activities.
Using AI and machine learning, it establishes baseline behavior for normal activity and flags deviations in real-time.
The software integrates with existing platforms, monitoring transactions or access attempts to detect risks. It can also leverage global databases and threat intelligence to enhance its predictive accuracy.
Features to Look for in Fraud Detection Software
When finding fraud detection software, consider looking for the following features:
- Real-Time Fraud Detection: The ability to analyse and flag suspicious activities instantly, minimising potential financial losses and disruptions.
- Machine Learning Capabilities: Adaptive algorithms that learn from past data to improve fraud detection accuracy over time.
- Comprehensive Reporting and Analytics: Detailed insights into fraud patterns, enabling businesses to refine their strategies and strengthen security measures.
- Integration Flexibility: Compatibility with existing systems, such as payment gateways or CRM platforms, for seamless implementation and operation.
- Global Threat Intelligence: Access to a network of fraud data and threat intelligence to identify and prevent evolving threats across industries and geographies.
Frequently Asked Questions
What industries benefit most from fraud detection software?
Fraud detection software is vital for industries like e-commerce, finance, healthcare, and travel, where high-value transactions and sensitive data are frequently targeted.
Can small businesses afford fraud detection software?
Yes, many fraud detection platforms offer flexible pricing plans, including options tailored to small-to-medium businesses.
How does AI enhance fraud detection?
AI enables fraud detection tools to analyse large datasets, learn from patterns, and adapt to evolving fraud techniques with greater accuracy.
Is fraud detection software difficult to integrate with existing systems?
Most fraud detection platforms provide APIs and plugins for seamless integration with payment gateways, CRM systems, and other business tools.
Geoff Cudd
