Payment Fraud

Take the fight to the fraudsters

Fight back smarter with advanced machine learning that uncovers complex fraud patterns to continually improve detection capabilities

Interface showing IP Details tab with IP address 213.33.21.102 linked to Virgin Media Ireland, domain virgin.ie, city Dublin, country Ireland, state Dublin, latitude -11, longitude -128, and unchecked boxes for IP Malicious, Confirmed Fraud, and Anonymous. A Mobile tab displays phone number 00353 1 327 4324, IMEI 352356051523423, and IMSI 324350653452389. Buttons on the right offer linking options: Link to New Case, Link to Existing Case, and Link to New Alert, with 'Link to Current Case' and 'Link to Current Alert' disabled.
Screenshot of a software interface showing three tabs: Entity Fields, Locking Links, Where Used. The Entity Fields tab displays a table with columns Name, Edit Field Details, Model Field Name, and Data Field, listing various account and alert-related database identifiers and fields. A tooltip labeled 'Scenario' describes payment-related scoring scenarios with a scoring range slider from 0 to 100 for each: PF04 suspicious payment, PF08 high-risk country payment, PF10 payment via MoneyMuleList, PF11 to hot-listed beneficiary, PF12 to hot-listed BIC, PF13 by monitored account, PF14 by monitored customer, PF16 new beneficiary after suspicious web activity, PF17 new beneficiary by night, PF17a payment by night, and PSD2 Exemption for transport and parking fares.

Always stay one step ahead with advanced AI-driven detection

Surface complex and ever-changing fraud typologies with sophisticated AI-powered detection that exposes patterns of suspicious behavior overlooked by rules alone.

Workflow diagram showing multiple yellow oval nodes on the left labeled with alert types connected by blue arrows to green rectangular process nodes in the center, which then converge towards a single blue square node on the right labeled '_UpdateFraudClassification_jxn'.

Combine robust rules with the intelligence of machine learning

Access a library of pre-packaged rules and machine learning models and see immediate results with 45 out-of-the-box payment fraud scenarios.

User interface displaying three panels: a Payment dropdown menu with payment categories including MoneyMule highlighted; a PMML Models dropdown with several PMML model options related to Payment; and a Query Builder panel showing selected Data fields with 'All Payments' highlighted and related data labels.

Keep detection agile and adaptive

Enable in-house teams to easily create, configure or fine-tune detection models with self-service analytics that keeps your risk management strategy agile and cost effective.

Audit log table showing transaction records with columns for Date, Action, Comment, Performed By, From Status, To Status, and Reason. It lists three entries dated from April to May 2023, with actions like Automated Alert, Automated Close, and Reopen. Two bar chart insets show payment methods: one lists Wire Transfer, Cheque/Check, Cash, Cash Withdrawal, Credit Transfer 1; the second shows SEPA, Cheque, and Inbranch, with horizontal bars indicating frequency.

Easily assess with insightful dashboards

Slice and dice data to evaluate key areas of your operation and detection model effectiveness with a view across all payment channels and types.

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

Prevent fraud at the source

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

Enable faster customer journeys

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

Share intelligence seamlessly

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

Adapt detection models in-house

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