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

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

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.

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

Entity Resolution

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

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.