Com tantas soluções diferentes de software de prevenção de fraude no comércio eletrónico disponíveis, é difícil perceber qual é a mais adequada para si. Sabe que pretende utilizar algoritmos avançados e análise de dados para detetar e impedir transações não autorizadas, roubo de identidade e outros tipos de fraude online — mas agora precisa de descobrir qual é a melhor ferramenta.
Eu ajudo! Nesta publicação, vou facilitar a sua escolha, partilhando as minhas experiências pessoais com dezenas de ferramentas diferentes de prevenção de fraude em lojas online de todas as dimensões, juntamente com as minhas escolhas do melhor software de prevenção de fraude no comércio eletrónico em geral.
O que é o software de prevenção de fraude no comércio eletrónico?
O software de prevenção de fraude no comércio eletrónico é uma ferramenta especializada concebida para proteger as empresas online contra atividades fraudulentas. Utiliza algoritmos avançados e técnicas de análise de dados para detetar e impedir transações não autorizadas, roubo de identidade e outros tipos de fraude em tempo real. O objetivo é analisar cuidadosamente cada transação, assinalar atividades suspeitas e ajudar as empresas a evitar perdas financeiras e danos à sua reputação.
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Our team has been testing and reviewing software since 2012. As retail leaders ourselves, we know how difficult—and important—it is to choose the right software.
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Tabela comparativa de software de prevenção de fraude no comércio eletrónico
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best for preventing friendly fraud | Free demo 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 | Free demo available | Pricing upon request | Website | |
| 4 | Best for instant yes or no responses | Free demo available | Pricing upon request | Website | |
| 5 | Best for account protection | Free demo available | Pricing upon request | Website | |
| 6 | Best for uncovering fraud patterns | Free demo available | Pricing upon request | 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 | Pricing upon request | Website |
Visão geral dos 20 melhores softwares de prevenção de fraude no comércio eletrónico
Eis uma breve descrição de cada software de proteção contra fraude no comércio eletrónico, destacando o melhor caso de utilização de cada um, algumas funcionalidades dignas de nota, capturas de ecrã e informações sobre preços.
Best for preventing friendly fraud- Free demo available
- Pricing upon request
Visit WebsiteCustomer Rating:4.7/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.ClearSales puts everything you need to measure your store’s fraud prevention performance on one dashboard. 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.
Learn more about ClearSale:
Best for AI-powered identity trust protection- Free demo
- Pricing available upon request
Visit WebsiteCustomer Rating:4.7/5This rating combines scores from multiple user review sites to reflect overall customer sentiment about the product.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.
Learn more about Kount:
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.
Learn more about Signifyd:
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.
Learn more about Forter:
Riskified’s order insights empower your team to understand customer behavior, payment issues, and fraud trends. 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.
Learn more about Riskified:
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.
Learn more about SEON:
Arkose Labs delivers long-term fraud prevention and account security by undermining the economic drivers behind attacks. 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.
Learn more about Arkose Labs:
Best for bot management with machine learning- 30-day free trial
- From $4,190/month
DataDome gives you detailed information about the different attacks the platform detected and blocked. 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.
Learn more about DataDome:
Bolt fraud detection software for commerce uses machine learning for comprehensive fraud and chargeback coverage. 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.
Learn more about Bolt:
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.
Learn more about Unit21:
Outras opções
Eis mais algumas opções que não entraram na lista dos melhores softwares de proteção contra fraude no comércio eletrónico:
- 11ShieldBest for risk management
- 12MidigatorBest for chargeback dispute management
- 13FraudLabs ProBest for improving profits by reducing chargebacks.
- 14NethoneBest for learning all transaction scenarios.
- 15SiftBest for disclosing all customer actions.
- 16CybersourceBest cloud-based payment management.
- 17NoFraudBest real-time virtual identity verification.
- 18SimilityBest for adaptive fraud analysis.
- 19SubunoBest for efficient fraud detection.
- 20CoveryBest for real-time customer assessment.
How I Evaluate Fraud Protection Software
I split my evaluation into two layers: the baseline a tool must hit—real-time screening, risk scoring, chargeback tools—and the differentiators that matter to loss prevention and fraud teams.
Core Functionality (Table Stakes For This List)
When I'm selecting tools for my list, I rank each one on a scale from 0 (does not offer the functionality) to 5 (excels in this area) for each core functionality listed below. Then, I calculate the tool's total score into a percentage. Each tool needs to achieve a minimum total score of 65% to be considered for inclusion.
- Real-Time Transaction Screening: I look at whether a tool can evaluate and decision orders at checkout speed across online and in-store channels, not just in delayed batches.
- Risk Scoring Engine: Each tool should generate dynamic risk scores using signals like purchase history, geolocation, and behavioral data—not just static rule matches.
- Machine Learning Detection: I evaluate whether the ML models adapt to shifting fraud patterns in retail, like seasonal spikes in gift card fraud or new account-testing schemes.
- Chargeback Management: Tools earn higher marks when they go beyond basic tracking to offer automated dispute workflows, evidence collection, and representment support.
- Device & Identity Verification: I check for device fingerprinting, IP analysis, and identity checks that can catch repeat fraudsters even when they switch emails or payment methods.
- Custom Rules & Case Management: Fraud analysts need to build rules for scenarios unique to their business—like flagging bulk orders of high-resale items—and manage flagged cases in a structured queue.
Once I have a list of tools that meet this criteria, I consider what sets each platform apart.
Differentiating Factors (What Sets Vendors Apart)
Here's how I compare and contrast different vendors:
Standout Features
A chargeback guarantee shifts financial liability from your business to the vendor on approved transactions—I check whether coverage extends to all order types or just specific segments. Consortium data networks are another differentiator worth evaluating, since shared fraud intelligence across merchants helps catch fraud rings that single-merchant data would miss. I also look at whether a tool detects policy abuse like serial returners or coupon stacking, which falls outside traditional payment fraud but drives real margin loss for retailers.
Beyond Features
Retail tech stack integrations matter a lot here. I evaluate whether a vendor offers native connectors to platforms like Shopify, Magento, or BigCommerce, plus payment processors like Stripe and Adyen. A tool that requires heavy custom API work just to connect to your checkout flow adds friction and delays. Pricing model fit is also key—I look at whether a vendor charges per transaction, per decision, or by revenue reviewed, and whether the model scales fairly as order volume grows during peak seasons. Compliance certifications like PCI-DSS and SOC 2 round out my evaluation.
Como selecionei o melhor software de prevenção de fraude no comércio eletrónico
Talvez esteja a perguntar-se como selecionei o melhor software de proteção contra fraude no comércio eletrónico para esta lista. Para criar esta lista dos 10 melhores, avaliei e comparei uma vasta gama de softwares de proteção contra fraude no comércio eletrónico com classificações positivas dos utilizadores.
Depois de determinar a minha lista extensa das principais opções, aperfeiçoei-a ainda mais utilizando os critérios de seleção abaixo, para perceber como cada plataforma se comparava com a seguinte. Também me baseei nos meus anos de experiência no comércio eletrónico para identificar as funcionalidades que acrescentam muito valor.
Facilidade de utilização:
Uma parte significativa da utilização destas ferramentas consiste em configurar, manter e atualizar regularmente o sistema. É essencial considerar o tempo e os custos envolvidos na implementação de um sistema de proteção contra fraude. Por isso, procuro sistemas fáceis de configurar, que possam ser implementados rapidamente e que não exijam muitos recursos para a sua instalação.
Painéis de relatórios:
Os sistemas de proteção contra fraude devem disponibilizar painéis de relatórios que o informem quando impedem a ocorrência de fraude na sua loja. Devem também fornecer análises aprofundadas do comportamento dos seus clientes, como os locais onde tocam nos ecrãs dos dispositivos móveis, os cliques nos computadores, a partir de onde acedem à sua loja e os respetivos endereços IP. Estas informações podem ajudá-lo a identificar os seus clientes e a confirmar se são compradores genuínos ou autores de fraude.
Gestão de falsos positivos:
Muitas lojas de comércio eletrónico não percebem que estão a perder um número significativo de conversões devido a indicadores de fraude falsos positivos. Isto significa que estão a rejeitar bons clientes e a impedi-los de comprar na sua loja. Muitas empresas de comércio eletrónico não percebem que podem perder mais receitas devido a falsos positivos do que devido ao custo da fraude.
Procuro sistemas que permitam aos utilizadores aprovar o maior número possível de transações legítimas. Estes sistemas devem utilizar vários indicadores para determinar se uma transação é autêntica. Isto ajuda a sua empresa a captar receitas que perderia devido a falsos positivos na deteção de fraude, continuando a filtrar as transações fraudulentas.
Integrações de software:
É crucial utilizar uma ferramenta que se integre bem com os seus outros sistemas e estabeleça ligação com outros sistemas. Por isso, procuro software que garanta que a gestão da fraude dispõe da funcionalidade necessária. Também deve funcionar de acordo com os seus padrões e continuar a ser viável quando precisar de adicionar novos sistemas ao seu conjunto de ferramentas.
Preços:
Os preços mais adequados para a sua empresa dependerão das suas necessidades e do que pretende obter do software. O software de proteção contra fraude no comércio eletrónico utiliza vários modelos de preços baseados em subscrições, volume e transações. Outros sistemas utilizam modelos de preços mais complexos, que envolvem preços flexíveis baseados na dimensão do seu setor, na dimensão da empresa e noutros aspetos variáveis.
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