Use Cases

Fraudsters exploited gaps between account funding, money movement, and dispute processes to move funds before return claims were initiated.

The investigation uncovered a coordinated fraud network by connecting transaction timing, account relationships, and money movement patterns.

The findings led to new monitoring approaches and enhanced controls designed to detect similar activity earlier in the lifecycle.

A fraud campaign that initially targeted a single consumer product evolved into a sophisticated operation involving compromised personal information, and coordinated activity across geo clusters.

As attack patterns shifted over time, the investigation combined identity intelligence, application-linkage analysis, and custom velocity monitoring to uncover previously hidden relationships.

The resulting controls improved detection of coordinated activity while reducing reliance on traditional point-in-time risk indicators.

A review of fraud outcomes uncovered recurring patterns among accounts opened using temporary identity credentials. A subset exhibited characteristics that differed meaningfully from the broader  population, including elevated unauthorized payment claims and unusually high money movement relative to expected behavior.

The analysis focused on onboarding signals, identity verification outcomes, customer behavior, and transaction patterns to identify indicators that could help distinguish higher-risk activity from legitimate customers. 

The findings informed a risk-based approach designed to improve detection while minimizing impact on genuine applicants.

Fraudsters exploited weaknesses in the telephone application channel, using carefully selected contact information to bypass traditional onboarding controls. 

What initially appeared to be isolated incidents revealed recurring patterns across applicant identities, phones, and application behavior.

By combining phone intelligence, linkage analysis, and custom velocity monitoring, the institution uncovered coordinated activity and implemented controls designed to identify similar attacks earlier in the onboarding journey.