Use Cases

Fraud, AML & Investigation Use Cases

Explore how Verafye helps financial institutions detect, investigate, and manage financial crime risk across fraud, AML, and payments.

Connected Investigation Intelligence

One platform, three core use cases

Verafye connects fraud, AML, payments, identity, device, and behavior signals into a single investigation layer — improving visibility, efficiency, and decision quality across each of these workflows.

Graph-based detection

Surface coordinated fraud rings, mule account clusters, and suspicious entity networks using connected graph intelligence across accounts, transactions, devices, and identities.

Signal-aware monitoring

Enhance transaction monitoring by bringing cross-system context into alert review — reducing false positives and helping teams focus on signals with real investigative value.

Structured investigation

Replace fragmented alert queues with connected case workflows, pre-assembled context, AI-assisted summaries, and audit-ready decision trails across every investigation.

Detection

Mule Network Detection

Detect and investigate coordinated fraud networks using graph-based intelligence across accounts, devices, identities, and transactions.

Graph IntelligenceAMLFraud

Monitoring

Transaction Monitoring

Enhance transaction monitoring with context-aware intelligence across systems and behaviors — improving signal quality and reducing false positives.

AMLPaymentsSignal Quality

Investigation

Investigation Workflow Modernization

Improve investigation efficiency, reduce backlog, and increase analyst productivity through connected intelligence and structured workflows.

OperationsFraudAML
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See how Verafye supports fraud, AML, and payment intelligence across real-world use cases.

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Designed for financial institutions and payment platforms
Aligned with evolving regulatory expectations