Order Velocity
Transaction frequency check
Add intelligent fraud screening to your payment flow with transaction scoring, velocity controls, device signals and configurable rules designed to identify suspicious activity before settlement.
Build fraud controls around your actual business model while keeping the checkout experience straightforward for legitimate customers.
Fraud prevention works best when a decision considers more than one data point. Combine payment information, transaction behavior, device context and configurable business rules before deciding how a transaction should proceed.
Review the payment amount, payment method, customer information and other available transaction attributes.
Identify unusual frequency, repeated attempts and transaction patterns that may require additional review.
Use configured rules and risk thresholds to determine whether a transaction should proceed, be reviewed or be blocked.
Combine complementary fraud controls so suspicious payments receive additional scrutiny without forcing every customer through the same experience.
Evaluate transaction risk and use the resulting score as part of your approval, review or decline workflow.
RISK DECISIONINGIdentify repeated attempts, sudden spikes and unusual transaction frequency across available payment signals.
PATTERN DETECTIONUse available device and session information to add context to digital transactions and repeat activity.
DEVICE SIGNALSUse supported cardholder authentication workflows when configured as part of your payment and fraud strategy.
AUTHENTICATIONConfigure transaction rules around supported attributes such as location, payment behavior, amounts or order characteristics.
RULE ENGINEAdjust fraud controls around your industry, transaction profile and customer behavior rather than using one generic rule set.
BUSINESS CONTEXTTransaction enters the payment flow.
Available fraud signals are evaluated.
Configured controls determine next action.
Proceed, review or decline.
Fraud tools can operate as part of the transaction workflow, allowing risk information to influence the payment decision before suspicious activity reaches settlement.
Sudden bursts of payment attempts can indicate card testing, automated abuse or other suspicious activity. Velocity controls help identify patterns that deserve additional scrutiny.
Monitor repeated transactions over a defined period.
Evaluate unusual spending or transaction patterns.
Add session and device context when available.
Compare transactions against supported network signals.
Different businesses see different fraud patterns. Configure supported fraud criteria around the payment activity and customer behavior that matter most to your operation.
Transaction size, customer behavior, billing models and payment channels all influence the way fraud controls should be configured.
Card-not-present screening for online checkout and specialty retail.
↗ GAMEPayment controls for eligible online gaming transaction environments.
↗ SPAFraud controls around premium treatments, memberships and booking payments.
↗ MEDPayment-screening strategies for eligible healthcare payment workflows.
↗ RXRisk controls for eligible pharmacy and digital payment environments.
↗ TELEFraud screening for remote and recurring virtual-care transactions.
↗A clear view of transaction decisions helps your team understand why activity was approved, reviewed or declined and where fraud patterns may be developing.
Build a fraud strategy around your transaction profile, customer behavior and available payment technologies.
Understand your business model, transaction profile and common fraud concerns.
Configure supported controls and thresholds around the activity you want to monitor.
Apply available risk checks to supported transactions as they move through checkout.
Adjust your fraud strategy as transaction patterns and customer behavior evolve.
Learn more about transaction scoring, velocity monitoring, fraud rules and payment authentication.
Ask Our TeamAntifraud screening evaluates available transaction and risk information before or during payment processing to identify activity that may require additional action.
Risk scoring combines available transaction signals into a score or decision that can help determine whether a payment proceeds, requires review or should be declined.
Velocity monitoring looks for unusually frequent or repeated payment activity over a defined period, which can help identify suspicious transaction patterns.
Where supported by the payment and fraud platform, rules can be configured around transaction attributes, thresholds and business-specific risk criteria.
3D Secure is an authentication framework that can add cardholder verification to eligible online card transactions when supported and configured.
Fraud controls should be configured carefully. Rules that are too aggressive can create unnecessary friction, which is why monitoring and ongoing optimization matter.
Integration depends on the processor, gateway and fraud platform being used. Supported fraud controls can often be incorporated into the broader transaction workflow.
Talk to Zenith Transact about building antifraud controls around your transaction profile, payment environment and business model.