Prévention de la fraude
Les capacités de prévention de la fraude de Cardflo protègent les commerçants à haut risque et les entreprises des menaces en constante évolution.
Notre approche multicouche combine une analyse avancée avec des règles personnalisables pour identifier et bloquer les transactions frauduleuses avant qu'elles n'affectent votre entreprise. Minimisez les rejets de débit et sécurisez vos sources de revenus.
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L'aperçu
Fraud prevention in the payments ecosystem refers to the technical framework and logic applied to identify high-risk transactions before they result in financial loss or regulatory penalties.
In a typical merchant stack, fraud tools sit between the checkout interface and the payment gateway, analysing data points to predict the legitimacy of a cardholder.
These systems evaluate transaction metadata such as IP addresses, device identifiers, and historical card behaviour to assign a risk score.
For merchants in high-risk sectors or those processing significant cross-border volumes, effective fraud mitigation is essential to maintain low chargeback ratios, which directly influences the terms set by the acquirer.
Excessive fraud levels can lead to increased scheme fees, mandatory participation in monitoring programmes, or the termination of a Merchant Identification Number (MID).
By utilising a layered approach involving 3DS, velocity controls, and automated blocklists, businesses can distinguish between legitimate customers and sophisticated bot-driven or manual fraud attempts during the authorisation phase.
Comment ça marche
Data ingestion and enrichment
When a customer initiates a transaction, the system captures non-sensitive data including the BIN, IP address, and browser fingerprint.
This information is enriched by checking against global databases to determine the geographical location and proxy status of the user, providing a baseline for the subsequent risk assessment and scoring process.
Velocity and pattern analysis
The engine monitors the frequency of attempts from specific cards, devices, or email addresses within defined timeframes.
If a single identifier attempts multiple high-value transactions or exhibits irregular behaviour patterns, such as cycling through different CVV numbers, the system triggers a temporary block or requires additional authentication steps.
Customisable rule execution
Merchants configure specific logic based on their internal risk tolerances and industry-specific threats.
Rules can be set to automatically decline transactions from certain high-risk jurisdictions, flag orders above a specific currency threshold, or enforce SCA for every transaction where the billing and shipping addresses do not match.
Real-time decisioning and response
Within milliseconds, the system produces an allow, deny, or review recommendation. An 'allow' response permits the authorisation request to proceed to the issuer.
A 'deny' response prevents the cost of a gateway call, while a 'review' allows manual oversight before the merchant captures the funds for the order.
Pourquoi c'est important
Preservation of merchant standing
Acquirers and card schemes monitor the ratio of fraudulent transactions to total sales. Exceeding established thresholds can result in a merchant being placed in monitoring programmes like the Visa Fraud Monitoring Programme (VFMP).
Maintaining robust prevention mechanisms ensures the business stays within acceptable bounds, avoiding punitive fees and ensuring continued access to card processing networks.
Reduction in operational overhead
Managing disputes and chargebacks is a resource-intensive process involving representment and administrative evidence gathering. By blocking fraudulent attempts at the pre-authorisation stage, a firm reduces the volume of retrieval requests and subsequent chargebacks.
This allows the risk team to focus on legitimate customer issues rather than fighting inevitable losses from stolen credentials.
Optimisation of acceptance rates
Indiscriminate fraud blocking can lead to false positives, where legitimate customers are declined. A granular prevention strategy uses machine learning and specific Merchant Category Code (MCC) data to refine rules.
This precision helps in identifying genuine buyers, thereby improving the overall authorisation rate and protecting the customer experience from unnecessary friction during the checkout process.
Cas d'usage
International E-commerce expansion
When entering new geographical markets, merchants often face unfamiliar fraud patterns. A layered prevention system helps identify suspicious proxy usage or mismatched BIN-to-IP locations, allowing for safer cross-border trade without manually reviewing every single foreign transaction.
High-velocity digital goods
For businesses selling instant-delivery items like gift cards or gaming credits, fraud happens at scale. Automated velocity checks prevent 'carding' attacks where bots test thousands of stolen numbers in minutes, protecting the business from rapid, massive financial exposure.
Subscription and recurring billing
Merchant-initiated transactions (MIT) require a high level of trust in the initial credentials. Verification tools ensure the card is valid and belongs to the user during the first transaction, reducing the likelihood of future chargebacks on subsequent recurring billing cycles.
En chiffres
Industry data suggests that implementing proactive blocking and pre-chargeback alerts can reduce the total volume of successful disputes within this range for high-risk merchants.
Typical industry performance for a tuned fraud engine, representing the balance between security and the risk of declining legitimate transactions during the authorisation process.
The standard duration for a fraud check to be completed within the payments stack to ensure no perceptible delay for the customer at checkout.
Termes associés
Talk to our team about a live rollout on your acquiring stack.
What you get with Prévention de la fraude
- Évaluation du score et des risques des transactions en temps réel
- Moteurs de règles personnalisables pour des modèles de fraude spécifiques
- Analyse de la géolocalisation IP et de l'empreinte digitale de l'appareil
- Vérifications de la vélocité et analyse comportementale
- Intégration avec des outils de fraude tiers
- Blocage automatisé des transactions suspectes
- Alertes avant rejet de débit via Ethoca et RDR
- BIN lookup services to verify the card type and country of the issuing bank.
- Address Verification Service (AVS) and CVV checks integrated into the initial gateway request.
- Comprehensive reporting on decline reasons and fraud trends to inform proactive risk management strategy.
A short scoping call, then a written plan for your MIDs.
Questions about Prévention de la fraude
Comment la prévention de la fraude de Cardflo fonctionne-t-elle en temps réel ?
Le système de prévention de la fraude de Cardflo analyse chaque transaction en temps réel en utilisant une combinaison de points de données, y compris les adresses IP, les informations sur l'appareil, l'historique des transactions et les règles personnalisées.
Cette évaluation immédiate permet d'identifier et de bloquer rapidement les activités potentiellement frauduleuses au moment où elles se produisent.
Puis-je personnaliser les règles de prévention de la fraude pour mon entreprise ?
Oui, Cardflo offre un moteur de règles personnalisable qui permet aux marchands de définir des règles de prévention de la fraude spécifiques adaptées à leur modèle commercial, leur secteur d'activité et leur appétence au risque.
Cette flexibilité garantit que le système s'adapte aux modèles de fraude uniques et minimise les faux positifs.
Quels types de fraude Cardflo prévient-il ?
Les capacités de prévention de la fraude de Cardflo couvrent divers types de fraude, y compris la fraude sans présence de carte, la fraude amicale, la prise de contrôle de compte et le vol d'identité.
Notre approche multicouche et nos analyses avancées sont conçues pour détecter et prévenir un large éventail d'activités frauduleuses.
Que sont les alertes avant rejet de débit et comment sont-elles utiles ?
Les alertes avant rejet de débit vous avertissent à l'avance qu'un litige est en cours avant qu'il ne devienne un rejet de débit formel.
Cardflo s'intègre à Ethoca et RDR (Rapid Dispute Resolution) afin que vous puissiez agir rapidement, rembourser si nécessaire et éviter les frais et les taux de rejet de débit qui peuvent nuire à votre compte commerçant.
Why is device fingerprinting more effective than just checking an IP address?
IP addresses are easily changed via VPNs, proxies, or mobile network switching. Device fingerprinting creates a unique identifier for a user's hardware and software configuration, including OS version, browser type, language settings, and screen resolution.
This allows the system to recognize a specific device even if the IP address changes. If a single device is linked to dozens of different cards or names across multiple sessions, it is a high-probability indicator of compromised credential testing or professional fraud activity.
What role does the Merchant Category Code (MCC) play in fraud risk assessment?
The MCC tells the issuer what type of business the merchant is running. Certain codes, such as those for cryptocurrency, gaming, or adult services, are traditionally viewed as higher risk by issuers and acquirers.
Fraud prevention systems often adjust their sensitivity based on the MCC.
For example, a travel agency may have a higher threshold for transaction value before flagging for review compared to a low-cost digital download site, as the average ticket price for flights is naturally much higher.
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