10 Mejores Software de Prevención de Fraudes en Comercio Electrónico en 2026
10 Mejor Software de Prevención de Fraude en Ecommerce - Lista Destacada
Con tantas soluciones de software de prevención de fraude en ecommerce disponibles, decidir cuál es la adecuada para ti puede ser complicado. Sabes que quieres emplear algoritmos avanzados y análisis de datos para detectar y prevenir transacciones no autorizadas, el robo de identidad y otros tipos de fraude en línea, pero ahora necesitas averiguar cuál herramienta es la mejor. ¡Te ayudo! En esta publicación, te facilitaré la elección, compartiendo mis experiencias personales usando docenas de diferentes herramientas de prevención de fraude con tiendas en línea de todos los tamaños y mis selecciones del mejor software de prevención de fraude en ecommerce en general.
¿Qué es el software de prevención de fraude en ecommerce?
El software de prevención de fraude en ecommerce es una herramienta especializada diseñada para proteger a las empresas en línea contra actividades fraudulentas. Utiliza algoritmos avanzados y técnicas de análisis de datos para detectar y prevenir, en tiempo real, transacciones no autorizadas, el robo de identidad y otros tipos de fraude. El objetivo es analizar cada transacción, señalar actividades sospechosas y ayudar a las empresas a evitar pérdidas financieras y daños reputacionales.
Table of Contents
- Mejores Software Seleccionados
- ¿Qué es un Software de Prevención de Fraudes en Comercio Electrónico?
- Comparar Especificaciones
- Reseñas
- Otras Opciones
- Cómo Seleccioné el Mejor Software de Prevención de Fraudes en Comercio Electrónico
- Preguntas Frecuentes
- Otras Reseñas de Software de Pagos para Comercio Electrónico
- Cómo Elegir el Mejor Software de Prevención de Fraudes en Comercio Electrónico
Resumen del Mejor Software de Prevención de Fraude en Ecommerce
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best for preventing friendly fraud | Not available | Pricing upon request | Website | |
| 2 | Best for AI-powered identity trust protection | Free demo | Pricing available upon request | Website | |
| 3 | Best for fraud event data collection | Not available | Pricing upon request | Website | |
| 4 | Best for instant yes or no responses | Free demo | Pricing upon request | Website | |
| 5 | Best for account protection | Free demo | Pricing upon request | Website | |
| 6 | Best for uncovering fraud patterns | Free trial and free demo available | From $699/month | Website | |
| 7 | Best for bot attack mitigation | Free demo | Pricing upon request | Website | |
| 8 | Best for bot management with machine learning | 30-day free trial | From $4,190/month | Website | |
| 9 | Best for checkout fraud prevention | Free plan available | From $18/month (billed annually) | Website | |
| 10 | Best for suspicious activity management | Not available | Pricing upon request | Website |
Reseñas de los 20 Mejores Software de Prevención de Fraude en Ecommerce
Aquí tienes una breve descripción de cada software de protección contra fraudes en ecommerce, mostrando el mejor caso de uso de cada uno, algunas características destacadas, capturas de pantalla e información sobre precios.
ClearSale is an ecommerce fraud prevention platform that combines AI-powered order scoring with a team of specialized fraud analysts to detect card-not-present fraud, manage chargebacks, and reduce false declines.
Who Is ClearSale Best For?
ClearSale is a strong fit for mid-to-large ecommerce retailers selling high-value or high-volume goods who need a fraud solution that balances order approval rates with chargeback protection.
Why I Picked ClearSale
ClearSale specifically addresses friendly fraud—when customers dispute legitimate charges after receiving their orders. Its manual review team of 1,500+ specialized analysts investigates suspicious orders instead of auto-declining them, reducing the risk of misclassifying repeat customers as fraudsters. Combined with a chargeback guarantee that covers 100% of losses on approved transactions that later prove fraudulent, ClearSale provides a clear solution for retailers hit hard by first-party misuse.
ClearSale Key Features
- AI-powered order scoring: ClearSale's proprietary algorithm analyzes each order in real time and assigns a fraud risk score before it's approved or flagged for review.
- Device fingerprinting: Identifies suspicious devices using signals like geo-localization, proxy piercing, and BIN tracking to catch fraud patterns at the session level.
- Custom fraud thresholds: Set risk tolerance rules for your store so ClearSale's scoring aligns with your specific product catalog and customer base.
- Fraud analytics dashboard: Track order decisions, approval rates, and chargeback data through a centralized reporting interface.
Pros and Cons
Pros:
- Easy to learn.
- Integration with major ecommerce platforms.
- Automated fraud detection.
Cons:
- No clear pricing.
- Takes time to approve transactions.
Kount is an AI-driven fraud prevention platform that covers payment fraud detection, account takeover protection, identity verification, and chargeback management across ecommerce and card-not-present transactions.
Who Is Kount Best For?
Kount is a strong fit for mid-to-large ecommerce merchants and digital businesses that process high volumes of card-not-present transactions and need real-time fraud decisioning.
Why I Picked Kount
I picked Kount as one of the best because its AI-driven identity trust model does something most fraud tools don't: it evaluates the trustworthiness of an identity across the entire customer journey, not just at the point of payment. The Kount 360 platform uses machine learning to generate an Omniscore risk rating on every transaction, pulling together device signals, behavioral data, and identity attributes to flag risk in real time. I also like that Kount's customizable rules engine lets your fraud team write policies tailored to your specific threat patterns, rather than relying entirely on a black-box model.
Kount Key Features
- Device fingerprinting: Identifies and tracks devices across sessions using hardware, software, and network attributes to flag suspicious activity before a transaction is approved.
- Chargeback management: Monitors dispute thresholds, automates responses, and identifies which chargebacks are worth fighting to recover revenue and protect merchant account standing.
- Authorized payment fraud protection: Detects account takeover attempts and new-account fraud at login and checkout by analyzing identity signals in real time.
- Velocity checks: Tracks transaction frequency across account IDs, email addresses, phone numbers, and payment tokens to surface coordinated fraud attacks as they happen.
Pros and Cons
Pros:
- In-depth transaction information.
- Effective onboarding team.
- Customer history insights.
Cons:
- No dashboard customization.
- Downloading reports are slow.
Signifyd is an AI-powered ecommerce fraud prevention platform that combines machine learning, a large commerce network, and automated order decisioning to protect merchants from fraud, chargebacks, and account takeover attacks.
Who Is Signifyd Best For?
Signifyd is a strong fit for mid-market and enterprise ecommerce retailers that process high order volumes and need automated fraud decisions at scale.
Why I Picked Signifyd
I picked Signifyd as one of the best because of the volume of raw signals it collects for each order. Its Commerce Network pulls together behavioral data, purchasing history, proxy detection, device IDs, transactional velocity, and issuer bank data across thousands of global retailers—building a continuously evolving shopper profile that most point solutions can't replicate. The Agent Console then surfaces which specific variables drove each decision, so your fraud team can spot emerging fraud patterns rather than trusting a black-box score. This event-level transparency, tied to transaction data from across the network, makes Signifyd a strong choice for fraud event data collection.
Signifyd Key Features
- Guaranteed fraud protection: Signifyd accepts 100% financial liability for fraud chargebacks on orders it approves, transferring that risk from your business.
- Account takeover protection: Monitors login attempts and pre-checkout account activity to flag credential stuffing, brute force attacks, and suspicious session behavior.
- Chargeback recovery: Automatically compiles and submits representment responses for disputed orders, including the transaction evidence needed to fight illegitimate chargebacks.
- Policy abuse detection: Identifies patterns consistent with return fraud and promotion abuse, flagging customers who exploit refund or discount policies repeatedly.
Pros and Cons
Pros:
- Cover the costs of chargebacks.
- No manual transaction reviews.
- Accurate fraudulent order catching.
Cons:
- Some transaction declines are unclear.
- No real-time data.
Forter is an AI-powered fraud prevention platform for ecommerce that covers fraud management, abuse prevention, dispute resolution, and payment optimization across the full customer journey.
Who Is Forter Best For?
Forter is a strong fit for mid-to-large ecommerce merchants and enterprises that process high transaction volumes and need automated, real-time fraud decisions at scale.
Why I Picked Forter
Forter earns its spot on my shortlist because of how it handles fraud decisions: instantly and without manual review queues slowing things down. The Forter Decision Engine, built on a cross-merchant identity network of 1.2B+ identities, delivers approval or decline decisions in under one second for each transaction. I also like that those decisions cover every major payment method, from credit and debit cards to BNPL and digital wallets. Forter backs its response time with guaranteed SLAs, which is rare in this space.
Forter Key Features
- Account takeover protection: Detects and blocks unauthorized account access attempts using behavioral signals and identity verification at login.
- Chargeback guarantee: Forter takes on liability for approved transactions that result in fraud chargebacks, shifting financial risk away from your business.
- Policy abuse prevention: Flags and blocks return fraud, promotion abuse, and reseller activity across your digital storefront.
- Dispute management: Automates chargeback representment with pre-built dispute recommendations to help recover revenue from illegitimate claims.
Pros and Cons
Pros:
- Automatic purchase evaluation.
- User-friendly dashboard.
- Easy to use.
Cons:
- Doesn’t work on iOS browsers.
- Setup is challenging.
Riskified is an AI-powered ecommerce fraud prevention platform that covers the full customer journey, with tools for transaction decisioning, chargeback liability shift, account takeover protection, policy abuse detection, and dispute management.
Who Is Riskified Best For?
Riskified is a strong fit for mid-market to enterprise ecommerce retailers that process high transaction volumes and need automated fraud decisioning at scale.
Why I Picked Riskified
Riskified earns its spot on my shortlist because its Account Secure product tackles account fraud across three distinct attack vectors: active account takeover (ATO) attempts, fake account creation at sign-up, and post-attack account recovery. Account Secure pulls from a user's full transaction history across Riskified's merchant network to assess whether a login attempt is legitimate, so decisions aren't made in a vacuum. The fully automated allow/notify/challenge decisioning at login removes the manual rules-setting that typically bogs down fraud teams.
Riskified Key Features
- Chargeback guarantee: Riskified assumes full financial liability for chargebacks on orders it approves, shifting risk away from your business.
- Policy Protect: Detects and flags refund, return, and promo abuse by identifying patterns across Riskified's global merchant network.
- Dispute Resolve: Automates chargeback evidence collection and submission to help your team manage disputes without manual legwork.
- Adaptive Checkout: Applies dynamic friction, like 3DS or OTP verification, selectively based on each transaction's risk profile.
Pros and Cons
Pros:
- Excellent turnaround time.
- Explains why it denies orders.
- Displays all pertinent information.
Cons:
- Large learning curve.
- Complex API documentation.
SEON is an AI-driven fraud prevention platform that combines digital footprint analysis, device intelligence, behavioral biometrics, and real-time transaction monitoring to detect and block ecommerce fraud across the full customer lifecycle.
Who Is SEON Best For?
SEON is a strong fit for mid-market to enterprise ecommerce and fintech teams that need granular control over fraud rules and risk scoring.
Why I Picked SEON
SEON earns its spot as one of the best on my shortlist because it surfaces fraud patterns that other tools miss. I love that its network analysis visually maps connections between shared devices, IP addresses, and email domains, making it easy to spot organized fraud rings rather than just flagging individual transactions. Its 900+ data signals give my team a granular view of each user's behavior, so patterns like card testing or promo abuse become apparent.
SEON Key Features
- Custom rule engine: Build and adjust fraud detection rules using a drag-and-drop interface without writing code.
- Device fingerprinting: Identifies and tracks suspicious devices across multiple sessions at checkout or account creation.
- Chargeback automation: Collects transaction evidence automatically and submits dispute responses to card networks.
- Behavioral biometrics: Detects bot activity and AI-driven attacks by analyzing mouse movements, typing patterns, and interaction behavior.
Pros and Cons
Pros:
- Constantly improving features.
- Saves time with fraud investigations.
- Very easy to use.
Cons:
- Slow loading times.
- Challenging for new users.
Arkose Labs is a fraud prevention platform built around its Arkose Titan product, which combines bot detection, device identification, account takeover protection, and scraping defense to secure the full user journey across sign-up, sign-in, and in-platform activity.
Who Is Arkose Labs Best For?
Arkose Labs is a strong fit for mid-market to enterprise ecommerce teams that face high volumes of automated bot traffic, credential stuffing, and payment fraud.
Why I Picked Arkose Labs
Arkose Labs earns its spot on my shortlist because its bot mitigation goes deeper than simple detection. Arkose Bot Manager pulls from 225+ risk signals and the Arkose Global Intelligence Network to catch evasive bots that slip past conventional defenses. The Agentic AI Manager targets AI-driven automation by making attacks economically unviable at scale. For ecommerce teams dealing with card testing or inventory hoarding, that combination of signal depth and adaptive challenge deployment is hard to replicate.
Arkose Labs Key Features
- Arkose Device ID: AI-enhanced device fingerprinting that persists through VPNs, browser resets, and spoofing to identify risky returning devices.
- Scraping protection: Detects and blocks content theft, price harvesting, and unauthorized data collection by bots and AI agents.
- Arkose Edge: A server-side API security layer that assesses risk in real time across non-browser endpoints and connected devices.
- In-platform defense: Covers promo abuse, credit card stuffing, and account abuse throughout the post-login user lifecycle.
Pros and Cons
Pros:
- Improves user experience.
- Dedicated analyst team.
- Insights provide potential risk information.
Cons:
- Dashboards and reports need work.
- Latency with synchronous events.
DataDome is an AI-powered cyberfraud protection platform that detects and blocks bots, account takeover attempts, carding fraud, payment abuse, and ad fraud across web, mobile, and API surfaces in real time.
Who Is DataDome Best For?
DataDome is a strong fit for mid-market and enterprise ecommerce teams that face high-volume bot traffic, credential stuffing, or payment fraud at scale.
Why I Picked DataDome
DataDome earns its spot on my shortlist because its ML engine runs on over 1,000 AI models that analyze more than 5 trillion signals daily to distinguish real shoppers from bots in under 2ms. I especially like how Bot Protect identifies malicious intent through behavioral analysis and device fingerprinting rather than just IP blocking, which cuts false positives to under 0.01%. That matters a lot when you're running a flash sale and can't afford to block legitimate buyers.
DataDome Key Features
- Account Protect: Detects and blocks credential stuffing, brute-force login attempts, and fake account creation in real time.
- Priority Protect: Prevents inventory hoarding and scalping bots from depleting stock during high-demand events and flash sales.
- Ad Protect: Identifies and filters invalid bot traffic from paid ad campaigns to reduce click fraud and wasted spend.
- Layer 7 DDoS protection: Blocks application-layer DDoS attacks targeting your storefront, APIs, and checkout flows.
Pros and Cons
Pros:
- Excellent customer support.
- Get started immediately.
- Easy to manage.
Cons:
- Dashboard is challenging to navigate.
- Threat overview lacks context.
Bolt is a checkout, payments, and fraud prevention platform that combines one-click checkout with machine learning-based fraud detection, chargeback protection, and identity verification to secure ecommerce transactions at the point of purchase.
Who Is Bolt Best For?
Bolt is a good fit for mid-market and enterprise ecommerce retailers that process high transaction volumes and need fraud protection built directly into the checkout experience.
Why I Picked Bolt
Bolt earns its spot on my shortlist because fraud prevention is built directly into the checkout flow, not bolted on as an afterthought. What I find most compelling is its hybrid detection model: the fraud algorithm scores every order using 200 data points, and the riskiest 3% of orders go to a human analyst for qualitative review. That combination sets it apart from purely algorithmic tools, which often end up blocking legitimate transactions. Bolt provides 100% fraud coverage, covering all fraud-related chargeback costs from credit card companies.
Bolt Key Features
- Shopper network recognition: Bolt identifies returning shoppers across its merchant network, using shared identity signals to flag unfamiliar or suspicious checkout behavior.
- Device and browser fingerprinting: Bolt captures device-level signals at checkout to detect card testing, bot activity, and account takeover attempts.
- Block and allow list management: Create custom rules to automatically block high-risk identifiers or approve trusted shoppers without triggering a manual review.
- Declined order re-review: Submit declined orders for a second analyst review, giving legitimate transactions a second chance before they're permanently rejected.
Pros and Cons
Pros:
- Implements fast checkout times.
- Fast account manager response.
- Nearly 100% uptime.
Cons:
- Onboarding process is slow.
- Some refunds don’t process.
Unit21 is an AI-powered fraud detection and AML platform built for fintechs and financial institutions, combining real-time transaction monitoring, device intelligence, case management, and automated regulatory filing in a single system.
Who Is Unit21 Best For?
Unit21 is a strong fit for fintechs, crypto platforms, and digital banks that need to manage fraud investigations and regulatory compliance in one place.
Why I Picked Unit21
I've included Unit21 in my top picks because its suspicious activity management does more than flag alerts. The AI Investigation Agent automatically gathers evidence, surfaces linked entities across transaction networks, and drafts case narratives before an analyst ever opens the case. The end-to-end regulatory filing automation stands out: once a case is ready, Unit21 auto-populates SARs, CTRs, and STRs with a complete audit trail, moving the process from alert to compliant filing without switching systems.
Unit21 Key Features
- Real-time transaction monitoring: Screens transactions across ACH, cards, RTP, FedNow, and crypto at sub-250ms latency to catch suspicious activity as it happens.
- Device Risk Score: Aggregates 40+ device signals, including VPN use, emulators, and tampered browsers, into a single score for each user session.
- Graph analysis: Visualizes connections between entities, devices, IPs, and wallets to expose coordinated fraud rings across accounts.
- Rules testing mode: Lets you run new detection rules against historical and live data before activating them to reduce false positives.
Pros and Cons
Pros:
- Regularly accepts new customer ideas.
- Provides excellent rule-creation features.
- Easily monitor all transactions.
Cons:
- Long implementation process.
- Difficult to use.
Otras Opciones
Aquí tienes algunas opciones más que no llegaron a la lista de los mejores software de protección contra fraudes en ecommerce:
- Shield
For risk management
- Midigator
For chargeback dispute management
- FraudLabs Pro
For improving profits by reducing chargebacks.
- Nethone
For learning all transaction scenarios.
- Sift
For disclosing all customer actions.
- Cybersource
Cloud-based payment management.
- NoFraud
Real-time virtual identity verification.
- Simility
For adaptive fraud analysis.
- Subuno
For efficient fraud detection.
- Covery
For real-time customer assessment.
Cómo seleccioné el mejor software de prevención de fraude en ecommerce
Quizás te preguntes cómo seleccioné el mejor software de protección contra fraudes en ecommerce para esta lista. Para crear este top 10, evalué y comparé una amplia variedad de programas de protección contra fraudes en ecommerce con valoraciones positivas de los usuarios.
Después de determinar mi lista inicial de principales candidatos, afiné aún más mi selección utilizando los siguientes criterios para comparar cómo se posicionaba cada plataforma frente a las demás. Además, me basé en mis años de experiencia en ecommerce para identificar las características que realmente aportan valor.
Usabilidad:
Una parte significativa de usar estas herramientas será la configuración, el mantenimiento y la actualización periódica del sistema. Es fundamental tener en cuenta cuánto tiempo o coste implicará implementar un sistema de protección contra fraudes. Por eso, busco sistemas que sean fáciles de poner en marcha, puedan desplegarse rápidamente y no requieran muchos recursos para su instalación.
Paneles de Reportes:
Los sistemas de protección contra fraudes deben proporcionar paneles de informes para informarte cuando se detenga un fraude en tu tienda. También deben ofrecerte análisis detallados sobre el comportamiento de tus clientes, por ejemplo, dónde tocan en las pantallas de sus dispositivos móviles, los clics en sus ordenadores, desde dónde acceden a tu tienda y las direcciones IP. Esta información te puede ayudar a identificar a tus clientes y confirmar si realmente son compradores genuinos o estafadores.
Manejo de falsos positivos:
Muchas tiendas de ecommerce no se dan cuenta de que están perdiendo una cantidad significativa de conversiones debido a indicadores de fraude falsos positivos. Esto significa que están rechazando a buenos clientes y evitando que compren en tu tienda. Muchas empresas de ecommerce no son conscientes de que pueden perder más ingresos por falsos positivos que por el costo del fraude.
Busco sistemas que permitan aprobar la mayor cantidad posible de transacciones legítimas. Estos sistemas deben utilizar diversos indicadores para determinar si una transacción es auténtica. Esto ayuda a tu negocio a captar ingresos que podrías perder debido a falsos positivos al detectar fraudes, mientras filtra también las transacciones fraudulentas.
Integraciones de software:
Es fundamental utilizar una herramienta que se integre adecuadamente con tus otros sistemas y los conecte entre sí. Por ello, busco software que garantice que la gestión del fraude cuente con la funcionalidad necesaria. También debe cumplir con tus estándares de rendimiento y seguir siendo viable cuando necesites añadir nuevos sistemas a tu arsenal.
Precios:
El mejor precio para tu negocio dependerá de tus necesidades y de lo que busques en el software. El software de protección contra fraudes en ecommerce utiliza diversos modelos de precios, basados en suscripciones, volumen y transacciones. Otros sistemas emplean modelos de precios más complejos que implican tarifas flexibles basadas en el tamaño de la industria, el tamaño de la empresa y otros aspectos variables.
Otras Reseñas de Software de Pago para Ecommerce
Si buscas un software de prevención de fraude para ecommerce, también podrías estar interesado en estas reseñas relacionadas de software. Todas se centran en las finanzas de ecommerce, pagos o gestión fiscal.
- Software de Contabilidad para Ecommerce
- Plataformas Buy-Now-Pay-Later (BNPL)
- Software de Impuestos sobre Ventas para Ecommerce
- Software de Procesamiento de Pagos
- Soluciones de Carrito de Compras
La gente también pregunta
¿Qué es el software de prevención de fraudes en ecommerce?
¿Por qué usar un software de prevención de fraudes en ecommerce?
¿Cuáles son las principales características del software de prevención de fraudes en ecommerce?
¿Qué otro software para ecommerce debería usar?
Elegir el software adecuado de prevención de fraudes en ecommerce
El fraude no es algo emocionante de enfrentar cuando se opera un negocio de comercio electrónico. Esta es una batalla constante, y estar al día con las nuevas estafas y artimañas es todo un desafío. Sin embargo, usar software de protección contra fraude en comercio electrónico puede proteger tu negocio de brechas de datos y pérdidas financieras. Ningún software de prevención de fraude resolverá todos tus retos por igual. El mejor sistema para tu empresa dependerá de tus necesidades y circunstancias. Por suerte, ahora cuentas con esta lista para comenzar.
Si buscas otras formas para proteger, operar o promocionar tu negocio y así aumentar tus ingresos, intenta suscribirte a nuestro boletín. Aquí encontrarás los últimos consejos, tendencias, herramientas e ideas de profesionales del comercio electrónico que pueden ayudar a mejorar tu tienda online.