Insights Library
Access content designed to help financial institutions and payment platforms understand evolving fraud patterns, regulatory expectations, and modern approaches to financial crime intelligence.
Perspectives on evolving fraud patterns, financial crime typologies, and emerging risk across banking, payments, and fintech.
Deep dives into Verafye capabilities, architecture decisions, and the intelligence approaches behind graph-based detection and investigation.
Applied content examining how connected intelligence addresses specific financial crime detection and investigation challenges.
Analysis of evolving regulatory frameworks and how financial institutions can align their financial crime infrastructure with changing expectations.
All Resources
Industry Insights
Financial institutions are under pressure to upgrade fraud and AML infrastructure in response to evolving regulatory expectations and increasingly sophisticated financial crime. This piece examines the drivers behind infrastructure modernisation and what it means in practice.
Product Insights
Graph intelligence represents a fundamental shift in how financial crime is detected — moving from event-level scoring to relationship-aware, network-level analysis. This piece explains the core concepts behind graph-based detection and why it matters for fraud and AML operations.
Industry Insights
High false positive rates in transaction monitoring remain one of the most persistent and costly challenges in financial crime operations. This insight examines the root causes of false positive inflation and how contextual, connected intelligence can improve signal quality without sacrificing detection coverage.
Use Case Deep Dives
Modern financial crime investigation requires more than alert handling — it demands structured, context-rich workflows that connect detection to resolution. This guide examines the components of effective investigation workflow design and how intelligence-driven approaches improve analyst productivity and case outcomes.
Regulatory Perspectives
Global regulatory frameworks are raising the bar for financial crime monitoring, investigation quality, and cross-domain risk management. This perspective examines the direction of travel across key frameworks and what evolving expectations mean for fraud, AML, and payments infrastructure.
Use Case Deep Dives
Mule networks are structured to evade transaction-level detection — operating across connected accounts, shared devices, and coordinated money movement patterns. This deep dive examines how graph intelligence and network clustering enable earlier, more complete detection of mule activity across banking and payment portfolios.
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Explore how Verafye helps institutions adapt to evolving fraud, AML, and payment intelligence challenges.
