Payment Fraud

Accurately anticipate deception

Significantly reduce payment fraud losses with low latency detection that prevents fraud across multiple channels and payment types.

A flowchart depicting the function and route relationships starting from a green node labeled ConfirmAlert(Reopened)_v40 linked by blue arrows to eight blue nodes representing functions related to alert reason updates, change confirmation, feedback, and fraud flags. These blue nodes connect to orange nodes representing corresponding implementations and versions via routes and functions, showing a layered software or data process workflow with multiple interlinked components.
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Panel titled Originator Account Details showing account ID ACC100005ACC, name One Holiday, type SME, routing number 100000710, sort code FI900018, IBAN IE92YTVT58188339076654, and flags indicating account is not monitored or exempted, alongside three blue buttons labeled Link to New Case, Link to Existing Case, and Link to Current Case.

Transform cross-channel detection

Treat multiple payment sources as a single stream for a real-time holistic overview of all transactions taking place across different channels.

Screenshot of a financial alert and transaction summary interface showing alert details and transaction types. The alert table lists three electronic transfers with Alert IDs, Type, Created On dates (24/03/2023, 26/04/2023, 11/03/2023), scenarios labeled 'PF16 - Payment to a new beneficiary after suspicious web activity,' scores of 50, Payment IDs, Payment Types as Credit Transfer, Payment Channels as Online Business Banking, currency in EUR, and payment amounts ranging from 24,000 to 30,000. The transaction summary tab shows totals for credits and debits, counts, transaction types like CREDIT TRANSFER 1, Cash, Cheque/Check, Wire Transfer, Cash Withdrawal, and minimum amounts in GBP with credit as positive and debit as negative values.

Leverage behavioral profiling and risk scoring

Apply rules and predictive AI in real-time based upon a comprehensive picture of the customer’s behavior to improve detection accuracy and reduce false positives.

Payment summary showing transaction details including Payment ID 200910394, description for charter flights in May 2021 with invoice number 123654, payment type as credit transfer, payment channel via online business banking, and organization unit Europe. Amount requested and actual amount are both EUR 24,000.00. Payment dates indicate run, origination, and local times as 18/07/2021 12:01, with a posting date of 13/06/2021. Originator details include name One Holiday, address 399 Meadow Grove, city and state Dublin, postal code D2, and country Ireland.

Improve decisioning and response management

Enhance operational efficiency with real-time source system and gateway interfaces that hold payments, with a block or release decision swiftly actioned once triaged.

Screenshot of a transaction table showing columns for Transaction ID, Date, Account ID, Debit/Credit, Originating and Base Currency, Base Amount, and Transaction Type, with various transaction entries listed. Overlayed is a detail panel titled 'Detection' showing alert information: Alert Identifier PF_1904202300026590, Type/Sub-Type Electronic Transfer, Status Reopened, Assigned To PF Demo-User, Score 50, Known Fraud Auto Released.

Ensure safer batch payments

Ensure full monitoring of all payments with intra-day fraud detection and interdiction on corporate batch payments, such as ACH in North America.

Diagram showing Duran Enterprises at the center connected by labeled arrows to related entities and individuals. Connections include share ownership with PGL Group and Allistair Woodsworth; ownership and beneficiary links to Peter Gadet and David Elliot; main subject links to several flagged entities labeled CDDRT2023121546949, A2023110821849, and A2023103161730; and a main link to Duran Enterprises and a secondary link to Peter Gadet-Leroux. Icons representing people, groups, and organizations accompany each node.
Entity Resolution

Resolve every data point to reveal patterns of fraudulent activity

Transform billions of siloed data points into a unified customer view to take your detection and investigation capabilities to the next level.

Discover more features and functionality of Payment Fraud

Solution benefits

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Significantly reduce fraud losses with real-time fraud detection that identifies and stops bad actors in their tracks.

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Remove unnecessary friction and only invoke processes like step-up authentication when needed.

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Easily share risk and case information across fraud, risk, and compliance functions for a holistic approach to risk management.

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Enable in-house teams to easily create, configure or fine-tune detection models with self-service capabilities.