NetReveal Payment Fraud

Perform entity-based risk evaluations

Expose hidden payment fraud by linking fragmented behavioural patterns that remain hidden in isolated signals

Perform entity-based risk evaluations

Connect risk signals across multiple channels and payment types

Provide investigators with all risk event information in one place for faster, more effective risk evaluations.

Connect risk signals across multiple channels and payment types

Enable faster level 1 payment triage

Ensure all information and actions are readily available for a decision on a held payment within 90 seconds.

Enable faster level 1 payment triage

Connect fraud with AML and expose hidden signals across risk typologies

Seamlessly integrate payment fraud with transaction monitoring detection, enabling fraud activities to expose signals for money laundering behavior and vice-versa.

Connect fraud with AML and expose hidden signals across risk typologies

Provide investigators with all the context they need

Enable longer-running forensic investigations to build a book of evidence for each customer or incident and create searchable repositories of bad actors across all financial crime types.

Provide investigators with all the context they need

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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