NetReveal Payment Fraud

Close the gaps in your payment ecosystem

Champion a truly cohesive approach with enterprise-wide deployment that stops fraudsters exploiting the gaps in disconnected systems.

Close the gaps in your payment ecosystem

Spot the chinks in your armour

Access a centralized view that quickly identifies high exposure activity and vulnerable entry points that have remained hidden from siloed fraud teams.

scale with enterprise-wide deployment

Rapidly deploy in 12 weeks

Seamlessly deploy enterprise-wide for multiple lines of business across complex organizational structures in just three months.

Limitlessly scale

Our solutions effortlessly scale to match the needs of even the largest financial institutions, with architecture that enables virtually limitless dynamic vertical and horizontal scaling.

Enhance customer experience with a unified approach across the enterprise

Apply fraud prevention controls intelligently so that genuine customers are not hampered by unnecessary steps or duplicated processes in their interactions.

Enhance customer experience with a unified approach across the enterprise

Sensa Investigation Hub

Integrate payment fraud with AI-powered case management

Unify your enterprise-wide risk and compliance tech stack and arm every investigator with a generative AI-powered assistant.

Integrate payment fraud with AI-powered case management

Discover more features and functionality of NetReveal Payment Fraud

Discover more

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.

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