Quick Overview
- 1#1: Sift - Sift uses machine learning for real-time fraud detection and prevention across payments, accounts, and digital interactions.
- 2#2: Forter - Forter delivers instant, AI-driven fraud decisions with a trust platform for secure ecommerce transactions.
- 3#3: Riskified - Riskified offers ecommerce fraud protection with chargeback guarantees using advanced machine learning analytics.
- 4#4: Signifyd - Signifyd provides guaranteed fraud protection for online retailers through machine learning and economic incentives.
- 5#5: Kount - Kount delivers precision-based fraud prevention with AI-driven risk assessment for payments and identities.
- 6#6: Feedzai - Feedzai's AI platform detects and prevents financial fraud in real-time across payments and banking channels.
- 7#7: FICO Falcon Fraud Manager - FICO Falcon uses consortium data and analytics for comprehensive fraud management in payments and accounts.
- 8#8: Featurespace - Featurespace's ARIC platform employs adaptive behavioral analytics to detect fraud without supervision.
- 9#9: DataVisor - DataVisor leverages unsupervised machine learning for scalable fraud detection in payments and beyond.
- 10#10: SEON - SEON combines machine learning with digital footprint data for fraud prevention in payments and onboarding.
Tools were selected and ranked based on factors including advanced detection tech, user experience, scalability, and value, ensuring they deliver actionable outcomes and adapt to evolving threat landscapes.
Comparison Table
Payment fraud poses a significant risk to businesses, emphasizing the need for effective detection tools. This comparison table examines top solutions like Sift, Forter, Riskified, Signifyd, Kount, and more, outlining their key features, detection strengths, and suitability for diverse operational needs. Readers will discover how to match these tools to their specific fraud prevention goals.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Sift Sift uses machine learning for real-time fraud detection and prevention across payments, accounts, and digital interactions. | enterprise | 9.7/10 | 9.9/10 | 9.2/10 | 9.4/10 |
| 2 | Forter Forter delivers instant, AI-driven fraud decisions with a trust platform for secure ecommerce transactions. | enterprise | 9.2/10 | 9.5/10 | 8.7/10 | 8.4/10 |
| 3 | Riskified Riskified offers ecommerce fraud protection with chargeback guarantees using advanced machine learning analytics. | enterprise | 9.2/10 | 9.5/10 | 8.7/10 | 8.9/10 |
| 4 | Signifyd Signifyd provides guaranteed fraud protection for online retailers through machine learning and economic incentives. | enterprise | 9.1/10 | 9.5/10 | 8.8/10 | 8.5/10 |
| 5 | Kount Kount delivers precision-based fraud prevention with AI-driven risk assessment for payments and identities. | enterprise | 8.5/10 | 9.2/10 | 8.0/10 | 8.1/10 |
| 6 | Feedzai Feedzai's AI platform detects and prevents financial fraud in real-time across payments and banking channels. | enterprise | 8.7/10 | 9.3/10 | 7.9/10 | 8.2/10 |
| 7 | FICO Falcon Fraud Manager FICO Falcon uses consortium data and analytics for comprehensive fraud management in payments and accounts. | enterprise | 8.7/10 | 9.4/10 | 7.2/10 | 8.3/10 |
| 8 | Featurespace Featurespace's ARIC platform employs adaptive behavioral analytics to detect fraud without supervision. | enterprise | 8.6/10 | 9.4/10 | 7.2/10 | 8.1/10 |
| 9 | DataVisor DataVisor leverages unsupervised machine learning for scalable fraud detection in payments and beyond. | enterprise | 8.5/10 | 9.2/10 | 7.8/10 | 8.1/10 |
| 10 | SEON SEON combines machine learning with digital footprint data for fraud prevention in payments and onboarding. | specialized | 8.2/10 | 8.7/10 | 7.9/10 | 7.6/10 |
Sift uses machine learning for real-time fraud detection and prevention across payments, accounts, and digital interactions.
Forter delivers instant, AI-driven fraud decisions with a trust platform for secure ecommerce transactions.
Riskified offers ecommerce fraud protection with chargeback guarantees using advanced machine learning analytics.
Signifyd provides guaranteed fraud protection for online retailers through machine learning and economic incentives.
Kount delivers precision-based fraud prevention with AI-driven risk assessment for payments and identities.
Feedzai's AI platform detects and prevents financial fraud in real-time across payments and banking channels.
FICO Falcon uses consortium data and analytics for comprehensive fraud management in payments and accounts.
Featurespace's ARIC platform employs adaptive behavioral analytics to detect fraud without supervision.
DataVisor leverages unsupervised machine learning for scalable fraud detection in payments and beyond.
SEON combines machine learning with digital footprint data for fraud prevention in payments and onboarding.
Sift
enterpriseSift uses machine learning for real-time fraud detection and prevention across payments, accounts, and digital interactions.
Global Fraud Network sharing anonymized signals from 1B+ monthly events for unmatched predictive accuracy
Sift is a top-tier payment fraud detection platform powered by advanced machine learning and a global network of fraud intelligence from billions of transactions. It enables real-time risk scoring, automated decisioning, and custom rules to block fraudulent payments while minimizing false positives. Businesses can integrate it seamlessly with payment gateways and e-commerce platforms to protect revenue and reduce chargebacks.
Pros
- Real-time adaptive ML models that evolve with fraud patterns
- Vast global data network for superior accuracy across regions
- Seamless integrations with 300+ platforms including Stripe and Shopify
Cons
- Enterprise pricing can be steep for small businesses
- Initial setup requires data integration expertise
- Advanced customization has a learning curve
Best For
High-volume e-commerce merchants and online marketplaces needing scalable, AI-driven fraud prevention at enterprise scale.
Pricing
Custom pricing based on transaction volume; typically starts at $5,000+/month for mid-tier plans—contact sales for quote.
Forter
enterpriseForter delivers instant, AI-driven fraud decisions with a trust platform for secure ecommerce transactions.
Global Trust Network for instant recognition of verified good customers across merchants
Forter is an enterprise-grade payment fraud detection platform that uses machine learning, AI, and a global trust network to deliver real-time fraud prevention for e-commerce transactions. It evaluates over 1,000 signals per transaction to instantly approve legitimate customers while blocking fraud, minimizing chargebacks and false declines. Beyond basic detection, Forter provides account takeover protection, payments optimization, and policy management to enhance revenue recovery and customer experience.
Pros
- Exceptional accuracy with low false positive rates due to vast data network and ML models
- Real-time decisions enabling instant approvals and seamless checkout experiences
- Comprehensive coverage including fraud, ATO, and friendly fraud prevention
Cons
- High cost with custom enterprise pricing unsuitable for small businesses
- Complex setup and policy configuration requiring technical expertise
- Limited pricing transparency and public benchmarks
Best For
Large e-commerce enterprises with high transaction volumes needing scalable, real-time fraud prevention.
Pricing
Custom enterprise pricing based on transaction volume; typically starts at $50,000+ annually with no public tiers.
Riskified
enterpriseRiskified offers ecommerce fraud protection with chargeback guarantees using advanced machine learning analytics.
Chargeback Guarantee, where Riskified covers 100% of losses for fraud on orders they approve
Riskified is a leading machine learning-powered fraud prevention platform tailored for e-commerce merchants, specializing in real-time detection of payment fraud, chargebacks, account takeovers, and policy abuse. It reviews transactions using advanced algorithms trained on billions of data points to approve genuine orders while flagging risks. A standout aspect is its chargeback guarantee, where Riskified reimburses merchants for losses on fraudulently approved orders, shifting financial risk away from the business.
Pros
- Chargeback guarantee eliminates financial risk for approved orders
- Superior ML accuracy with low false positives trained on massive datasets
- Seamless integrations with Shopify, Magento, BigCommerce, and more
Cons
- Enterprise-level pricing requires custom quotes and may be prohibitive for SMBs
- Initial setup and integration can take time for complex stores
- Occasional need for manual reviews on edge cases
Best For
Mid-to-large e-commerce merchants with high transaction volumes seeking guaranteed fraud protection and scalable prevention.
Pricing
Custom enterprise pricing based on gross merchandise volume (GMV); typically starts at several thousand dollars per month for mid-sized merchants, with no public tiers.
Signifyd
enterpriseSignifyd provides guaranteed fraud protection for online retailers through machine learning and economic incentives.
Commerce Protection Guarantee – full fraud and chargeback liability shift to Signifyd
Signifyd is an AI-powered commerce protection platform designed to detect and prevent payment fraud in real-time for e-commerce businesses. It leverages machine learning models trained on billions of transactions to make accurate accept/decline decisions, while offering a unique Commerce Protection Guarantee that shifts fraud liability away from merchants. Beyond fraud detection, it includes chargeback management, returns abuse prevention, and seamless integrations with platforms like Shopify, BigCommerce, and Magento.
Pros
- Commerce Protection Guarantee eliminates fraud liability for merchants
- High-accuracy AI with global data covering billions of transactions
- Seamless integrations and real-time decisioning for major e-commerce platforms
Cons
- Pricing is transaction-based and can be costly for high-volume or low-margin stores
- Enterprise-focused with potentially steeper learning curve for smaller teams
- Limited transparency on exact pricing without a sales consultation
Best For
Mid-to-large e-commerce merchants prioritizing guaranteed fraud protection and scalability over cost sensitivity.
Pricing
Custom, transaction-based pricing (typically 0.75-2% of order value); no upfront fees, pay only for protected orders.
Kount
enterpriseKount delivers precision-based fraud prevention with AI-driven risk assessment for payments and identities.
Direct Intelligence Network, the world's largest fraud data consortium providing unparalleled shared intelligence.
Kount is an AI-powered fraud prevention platform specializing in payment fraud detection for e-commerce and digital businesses. It leverages machine learning, device fingerprinting, behavioral analysis, and a massive global data consortium to deliver real-time risk scores and automated decisioning. Acquired by Equifax, Kount minimizes chargebacks, reduces false positives, and supports omnichannel fraud management with seamless integrations into platforms like Shopify and Salesforce.
Pros
- Advanced AI/ML models with high accuracy in fraud detection
- Vast data consortium for superior risk intelligence
- Flexible integrations and real-time decisioning capabilities
Cons
- Custom pricing lacks transparency for smaller businesses
- Steep learning curve for advanced customizations
- Occasional false positives in high-velocity environments
Best For
Mid-to-large e-commerce merchants with high transaction volumes needing scalable, data-driven fraud prevention.
Pricing
Custom enterprise pricing based on transaction volume; typically starts at several thousand dollars monthly, quote required.
Feedzai
enterpriseFeedzai's AI platform detects and prevents financial fraud in real-time across payments and banking channels.
AI Guardian's entity behavior graph that models customer journeys across channels for precise, context-aware fraud scoring
Feedzai is an AI-native platform specializing in real-time payment fraud detection, leveraging machine learning and behavioral analytics to protect transactions across payments, banking, and commerce. It processes billions of transactions daily, adapting dynamically to emerging fraud patterns while minimizing false positives. The solution integrates with existing systems to provide end-to-end risk management, including AML and chargeback prevention.
Pros
- Exceptional real-time fraud detection with low false positives
- Scalable for high-volume enterprise environments
- Continuous machine learning adaptation to new threats
Cons
- Complex implementation requiring significant integration effort
- High enterprise-level pricing
- Steeper learning curve for non-technical users
Best For
Large banks, payment processors, and fintechs handling massive transaction volumes needing advanced AI-driven fraud prevention.
Pricing
Custom enterprise pricing based on transaction volume; typically starts at $100,000+ annually with quotes required.
FICO Falcon Fraud Manager
enterpriseFICO Falcon uses consortium data and analytics for comprehensive fraud management in payments and accounts.
Falcon Consortium Network providing anonymized fraud data from millions of global accounts for superior cross-institution detection
FICO Falcon Fraud Manager is a leading enterprise-grade platform for real-time payment fraud detection, utilizing advanced AI, machine learning, and behavioral analytics to monitor transactions across cards, digital payments, and channels. It processes billions of transactions daily for global financial institutions, adapting models dynamically to evolving fraud patterns while minimizing false positives. The solution integrates consortium data from shared networks to enhance detection accuracy beyond individual datasets.
Pros
- Proven track record with 99%+ detection rates on billions of transactions
- Real-time adaptive AI models that evolve with fraud trends
- Extensive consortium network for shared intelligence across institutions
Cons
- Complex implementation requiring significant IT resources and expertise
- High enterprise-level pricing not suitable for small businesses
- Steep learning curve for customization and rule management
Best For
Large banks, payment processors, and financial institutions managing high-volume, multi-channel transactions.
Pricing
Custom enterprise licensing, typically starting at $500K+ annually based on transaction volume and features.
Featurespace
enterpriseFeaturespace's ARIC platform employs adaptive behavioral analytics to detect fraud without supervision.
Adaptive Behavioral Analytics (ABA) that self-learns from live data to detect both known and unknown fraud patterns without manual intervention
Featurespace offers ARIC Risk Hub, an AI-powered fraud detection platform specializing in payment fraud prevention through adaptive behavioral analytics (ABA). It monitors customer behavior in real-time to detect anomalies and emerging threats without relying on predefined rules or labeled training data. The solution scales for high-volume transactions and integrates with payment systems to block fraud before it impacts businesses.
Pros
- Unsupervised machine learning adapts to new fraud types autonomously, minimizing false positives
- Real-time detection handles millions of transactions per second
- Proven effectiveness with major banks and payment processors worldwide
Cons
- Enterprise-level pricing can be prohibitive for smaller organizations
- Complex integration requires significant technical expertise
- Limited public transparency on customization options for non-financial use cases
Best For
Large financial institutions and payment processors needing advanced, scalable fraud prevention for high-volume environments.
Pricing
Custom enterprise pricing based on transaction volume; typically starts in the high six figures annually for mid-sized deployments.
DataVisor
enterpriseDataVisor leverages unsupervised machine learning for scalable fraud detection in payments and beyond.
Unsupervised machine learning for automatic detection of unknown fraud patterns
DataVisor is an AI-powered fraud prevention platform designed for real-time detection and mitigation of payment fraud, leveraging unsupervised machine learning to identify both known and emerging threats. It provides multi-layered defenses including device intelligence, behavioral analysis, and payment risk scoring to minimize chargebacks and false positives. The solution integrates with payment processors and gateways, offering scalable protection for fintech, e-commerce, and banking sectors.
Pros
- Unsupervised ML excels at detecting novel fraud without rules
- Real-time adaptive risk scoring reduces false positives
- Seamless integration with payment ecosystems
Cons
- Complex setup requires technical expertise
- Custom pricing can be opaque and expensive for SMBs
- Limited self-service options for smaller teams
Best For
Mid-to-large enterprises with high-volume payment processing needing advanced, adaptive AI fraud detection.
Pricing
Custom enterprise pricing based on transaction volume, typically starting at $50,000+ annually.
SEON
specializedSEON combines machine learning with digital footprint data for fraud prevention in payments and onboarding.
Proprietary 'digital footprint' analysis combining psychometrics, phone/email intel, and network data for superior payment transaction risk scoring.
SEON (seon.io) is a comprehensive fraud prevention platform designed for real-time detection and mitigation of payment fraud, leveraging machine learning, device intelligence, and over 50 proprietary signals like email validation, IP geolocation, and psychometrics. It provides customizable risk scoring, no-code rule builders, and seamless integrations with payment gateways such as Stripe and Adyen. While versatile for e-commerce, gaming, and fintech, its payment fraud module excels in blocking high-risk transactions before they process, reducing chargebacks and false positives.
Pros
- Rich library of 50+ fraud signals including device fingerprinting and network scoring for accurate payment risk assessment
- Modular, customizable rules engine with no-code options and real-time API for easy payment gateway integration
- Strong focus on reducing false positives while catching sophisticated fraud like account takeovers tied to payments
Cons
- Pricing is usage-based and can become expensive for high-volume or small businesses without clear ROI visibility
- Advanced features require configuration time and expertise, less ideal for non-technical teams
- Less specialized in pure payment orchestration compared to dedicated PSP fraud tools
Best For
Mid-sized e-commerce and fintech companies processing moderate-to-high payment volumes that need flexible, signal-rich fraud detection without building in-house systems.
Pricing
Custom modular pricing starting at ~$1,000/month based on volume and signals used; enterprise plans with pay-per-check options available.
Conclusion
The top three tools lead the field, with Sift as the clear leader—using machine learning for real-time protection across payments, accounts, and digital interactions. Forter and Riskified follow, each offering unique strengths: Forter’s instant AI-driven decisions and Riskified’s chargeback guarantees make them strong picks for specific needs.
To strengthen your payment security, begin with Sift; its advanced capabilities and multi-channel protection stand out as a top choice for safeguarding transactions.
Tools Reviewed
All tools were independently evaluated for this comparison