Fraud prevention
Fraudulent checkout attempts exploit fragmented gateways before authorisation, making Payment fraud prevention dependent on consistent pre-authorisation controls across markets, devices and payment routes, with Cardflo aggregating risk signals and directing eligible sessions through 3DS.
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Risk directors face an increasingly complex threat landscape where fragmented gateways process transactions in isolation. When pre-authorisation data sits in silos across multiple platforms, detecting coordinated attacks becomes nearly impossible. Merchants require a unified layer that evaluates every basket, device, and network connection before presenting the transaction for approval.
Cardflo delivers overarching payment fraud prevention by aggregating threat signals from across the acquirer partner network. The orchestration layer routes potentially compromised sessions into stepped-up authentication flows, manages 3DS exemptions, and evaluates risk before an authorisation request ever reaches the processing bank or local scheme network.
Cardflo’s fraud prevention system evaluates transactions in real-time using velocity checks and sophisticated scoring algorithms before authorisation. This proactive defence mechanism protects merchant accounts and MIDs from fraudulent activities, minimising financial losses.
Fraud prevention overview
A comprehensive approach to payment fraud prevention starts long before a transaction reaches the banking network. It requires orchestrating device fingerprints, address verification matches, and previous network behaviour across all active gateway connections.
Cardflo allows merchants to aggregate pre-authorisation intelligence from an entire acquirer partner network, ensuring a consistent risk posture regardless of where a transaction ultimately settles. By centralising these early interventions, finance teams can isolate sophisticated card testing attempts and account takeover patterns before they result in financial losses.
While this structural approach secures the checkout flow, teams looking to observe ongoing patterns should consult the fraud monitoring page, those configuring specific engine criteria can refer to risk rules, and businesses operating in highly regulated sectors should review high-risk fraud controls for industry-specific measures.
This unified orchestration ensures that only clean, authenticated traffic passes to the respective acquiring partner for final settlement.
How fraud prevention works
Pre-authorisation data aggregation
The platform compiles intelligence the moment a buyer initiates a checkout sequence. Cardflo captures device identifiers, network connections, basket contents, and shipping details before interacting with any external banking network. This immediate data consolidation ensures the overarching payment fraud prevention strategy evaluates the complete customer profile. Consolidating these inputs early prevents fragmented decision-making across disparate gateway integrations and standardises the initial assessment process.
Dynamic protocol routing
Based on the initial data capture, the orchestration layer determines the most appropriate authentication path for the transaction. Suspicious sessions automatically trigger a step-up challenge via 3D Secure, while demonstrably safe transactions bypass friction using delegated authentication or acquirer exemptions. By directing traffic intelligently across the network, merchants satisfy Strong Customer Authentication requirements without subjecting trusted buyers to unnecessary hurdles during the final checkout stage.
Clean traffic distribution
Once a transaction clears the pre-authorisation checks and any necessary authentication challenges, Cardflo passes the payment to the optimal acquirer partner. Because the transaction has already survived rigorous early scrutiny, the acquiring institution receives a highly qualified request. This structured approach reduces decline rates at the processor level and preserves the merchant's standing with international card schemes.
Why fraud prevention matters
Protecting merchant MID reputation
Consistent early intervention shields merchant accounts from the negative consequences of processing illicit transactions. By identifying and blocking synthetic identities or stolen credentials prior to authorisation, businesses maintain healthy ratios with their acquirer partner network. This proactive payment fraud prevention preserves processing continuity and helps secure favourable settlement terms over time.
Consolidating third-party integrations
Managing disparate gateway tools creates operational overhead and exposes gaps in a risk posture. A centralised orchestration layer eliminates the need to maintain separate risk modules for every active integration. Finance and operations teams benefit from a unified view of early-stage threats, reducing engineering costs and ensuring uniform protection across all geographical markets.
Regulatory notes for fraud prevention
Payment Services Directive (PSD2) and SCA
Under European regulations, merchants must apply Strong Customer Authentication to the vast majority of electronic transactions. A structured payment fraud prevention setup ensures consistent compliance by intelligently routing eligible transactions through 3D Secure protocols.
This approach satisfies the legal requirement for multi-factor authentication before any funds are officially requested from the issuing bank.
Orchestration platforms also manage the application of SCA exemptions, such as low-value transactions or secure corporate payments.
By correctly formatting the authorisation messages to include these exemption flags, merchants remain fully compliant with regional directives while simultaneously reducing checkout friction for qualifying buyers across the European Economic Area.
Card scheme network mandates
Both Visa and Mastercard enforce strict guidelines regarding acceptable levels of illicit activity, placing merchants in specific compliance programmes if they exceed defined thresholds.
Evaluating transactions prior to authorisation helps merchants control their overall decline rates and prevents excessive fraudulent payloads from reaching the scheme networks in the first place.
Failing to intercept automated card testing or large-scale identity spoofing at the gateway level can result in substantial scheme fines or the total loss of processing privileges.
By aggregating pre-authorisation intelligence, operators protect their standing with the networks and maintain uninterrupted access to their global acquirer partners.
Fraud prevention use cases
Card testing before authorisation
Enterprise checkout estates can attract automated card testing that submits low-value card-not-present attempts across multiple brands, MIDs and acquirer routes. Cardflo applies pre-authorisation screening and aggregates risk signals across the acquirer partner network, allowing suspicious attempts to be stopped before authorisation requests reach issuers.
Risk-based 3DS routing
Merchants operating under PSD2 must balance SCA obligations with exemption eligibility and the conversion cost of unnecessary issuer challenges. Cardflo orchestrates 3DS2 routing using transaction context, exemption strategy and acquirer partner capabilities, directing appropriate payments towards frictionless authentication while escalating higher-risk activity for cardholder verification.
Recurring payment fraud prevention
Established customer accounts can be compromised through stolen credentials, exposing saved cards, delivery addresses and loyalty balances to fraudulent purchase attempts. Cardflo combines device, identity and payment signals before authorisation, enabling merchants to reject suspicious sessions or request 3DS2 authentication before goods enter fulfilment.
Multi-acquirer fraud aggregation
Enterprise merchants using several MIDs and acquirer partners can miss coordinated fraud when each route presents an isolated view of payment activity. Cardflo aggregates risk outcomes across multi-acquirer routing, giving risk teams a consolidated prevention layer and consistent pre-authorisation decisions across brands, regions and payment channels.
Fraud prevention by the numbers
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.
Methodology: these figures are illustrative ranges drawn from published industry data and observed merchant cohorts, not guarantees. Actual results depend on your risk profile, card mix, geography and acquiring setup, and are confirmed only in your own pricing and approval terms.
Related terms
Talk to our team about a live rollout across our acquirer partners' rails.
What you get with Fraud prevention
- Aggregation of device fingerprinting data across multiple merchant touchpoints before triggering an authorisation request.
- Dynamic 3DS routing logic to challenge suspicious baskets while passing low-risk sessions via exemption flags.
- Centralised threat intelligence gathering from an entire acquirer partner network to isolate widespread card testing.
- Pre-authorisation identity checks that validate billing addresses and CVV matches before submitting the payment data.
- Routing orchestration that isolates high-value transactions for secondary review based on aggregated historical network intelligence.
- Unified API connections that consolidate diverse payment fraud prevention modules into a single merchant integration.
A short scoping call, then a written plan for your MIDs.
Questions about Fraud prevention
How does gateway orchestration improve pre-authorisation threat detection?
Fragmented architectures force merchants to rely on the individual capabilities of each separate payment processor. Gateway orchestration centralises the data collection point, allowing the merchant to evaluate device fingerprints, IP addresses, and billing mismatches before selecting a specific processing route.
This consolidated view ensures that a known threat identified on one routing path is automatically recognised and mitigated across all other connections, strengthening the overarching payment fraud prevention architecture and preventing siloed vulnerabilities.
Does 3DS routing interfere with frictionless checkout flows?
Advanced orchestration logic applies 3D Secure dynamically rather than universally. By analysing the initial transaction metadata, the platform only routes high-risk or unrecognised profiles through a step-up challenge.
Known users, low-value purchases, and transactions eligible for specific acquirer exemptions bypass the authentication challenge entirely. This selective application secures vulnerable vectors while preserving a fast, uninterrupted checkout experience for genuine buyers.
By dynamically managing these authentication flows, merchants effectively balance strict security mandates with ongoing conversion optimisation across all their active markets.
Can we standardise our risk approach across multiple acquirer partners?
Yes, standardising the assessment layer is a primary benefit of payment orchestration. Instead of configuring separate protocols for every bank connection, merchants build a single, comprehensive payment fraud prevention strategy at the gateway level.
Cardflo intercepts the checkout data, applies the unified threat assessment, and only transmits the payload to an acquirer partner once it passes all preliminary checks. This keeps the overarching security posture consistent, even as the business adds or removes regional processing partners over time.
At what stage does Cardflo evaluate device intelligence?
Device intelligence evaluation occurs at the very beginning of the checkout sequence, prior to any formal authorisation request. The orchestration layer assesses parameters such as browser characteristics, language settings, hidden proxies, and geographic location mismatches the moment the buyer initiates the payment.
If the metadata indicates an automated script or a known hostile device, the system intercepts the request immediately, preventing the compromised data from ever reaching the downstream processing networks or triggering scheme network fees.
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