Guide

Datos Insights Fraud & AML Fintech Spotlight Q3 2025

How SEON Is Redefining Fraud Prevention and AML Compliance

The convergence of fraud and compliance demands platforms that adapt as fast as the threats they face. See why Datos Insights is spotlighting SEON’s unified approach to financial crime prevention.

Industries such as financial services are fighting on two fronts: rising fraud losses and intensifying compliance requirements. Novel products are transforming how risk teams tackle these challenges, leveraging emerging technologies and data to address evolving security threats and economic uncertainty.

This Q3 2025 edition of the Fraud & AML Fintech Spotlight highlights vendors worth watching: companies with unique approaches to the problems keeping fraud and AML leaders up at night. SEON’s integrated platform combines digital footprint analysis with device intelligence to deliver fraud detection and compliance in one system.

Why SEON Matters

Data Enrichment Creates Comprehensive Risk Profiles

SEON’s approach combining digital footprint analysis with device intelligence gives organizations increased visibility into customer authenticity. This data enrichment becomes particularly valuable when assessing customers with limited transaction histories.

Integration Reduces Operational Complexity

SEON’s integrated platform eliminates the coordination challenges that create coverage gaps, streamlining operations while ensuring fraud prevention and regulatory compliance work together.

Customization Enables Rapid Threat Response

SEON’s flexibility in creating custom rules and risk logic addresses a critical operational challenge: responding quickly to new fraud patterns without waiting for vendor updates. This capability becomes increasingly important as fraudsters adapt their tactics more quickly.

Key Market Challenges Addressed

Integrated Fraud Prevention and Compliance Platform

Organizations typically manage fraud detection and AML compliance through separate systems, creating operational silos and potential coverage gaps. SEON unifies these workflows into a command center, giving businesses one API, one dashboard, and real-time coordination across fraud and compliance.

Data Enrichment for Risk Assessment

Traditional fraud systems often rely on limited transaction data, making it difficult to distinguish legitimate customers from sophisticated fraudsters. SEON’s combination of data enrichment and device fingerprinting provides additional context for risk decisions by analyzing digital footprints, behavioral patterns and device characteristics beyond basic transaction information.

Operational Efficiency Through Automation

Manual fraud reviews create bottlenecks and increase operational costs, often degrading customer experience. SEON clients have demonstrated significant efficiency improvements, with reported results including up to 99% fewer multi-accounting fraud attempts, an 87% reduction in fraudulent transactions and 75% less time spent on manual reviews.

Looking Forward: The Future of Fraud and AML

Fraud and AML Convergence Is Accelerating

The boundary between fraud prevention and AML compliance continues to blur as regulators demand stronger financial crime controls while fraudsters exploit any defense weaknesses. SEON’s integrated approach positions clients well as unified platforms become necessary rather than convenient.

API-First Architecture Supports Embedded Finance

As industries like financial services increasingly operate through partnerships and embedded finance channels, SEON’s API-centric design extends fraud prevention capabilities to wherever transactions occur.

Top 3 Takeaways for Fraud & AML Leaders

Unified Platforms Are Becoming Essential

Managing fraud and compliance through separate systems creates blind spots that sophisticated criminals exploit. The convergence of these disciplines demands platforms that can coordinate across both domains in real time, eliminating coverage gaps and reducing operational complexity.

Data Enrichment Reveals What Transactions Can’t

Transaction data alone no longer provides enough context to distinguish legitimate customers from synthetic identities and fraud rings. Digital footprint analysis and device intelligence offer the additional signals needed to make accurate risk decisions, especially for customers with limited histories.

Speed Matters More Than Ever

Fraudsters adapt their tactics faster than most organizations can update their detection rules. The ability to customize risk logic and respond to emerging threats without vendor dependencies has shifted from nice-to-have to mission-critical.