Credit Union Association of New Mexico Partners with Rippleshot for Advanced Fraud Detection

The Credit Union Association of New Mexico (CUANM) has partnered with Chicago-based fraud analytics firm Rippleshot to provide proactive fraud detection tools to credit unions across the state. This collaboration offers institutional-level protection for over one million New Mexican members, signaling a shift toward collaborative, data-driven defense strategies in the credit union sector.

What was announced

The partnership integrates Rippleshot’s specialized fraud prevention technology into the CUANM’s existing lineup of collaboration partners. Specifically, New Mexico credit unions will gain access to two primary tools: Fraud Interceptor and the Fraud Intelligence Collective. Fraud Interceptor is designed to identify high-risk merchants by analyzing transaction patterns across a broad network of financial institutions. By spotting these patterns early, the tool aims to stop card fraud before it spreads through the member base. It works by identifying the "point of compromise" more quickly than traditional methods, allowing credit unions to take action on high-risk cards before fraudulent transactions occur.

The Fraud Intelligence Collective functions as a real-time peer network, allowing fraud professionals at different institutions to share insights and alerts when suspicious activity is detected. This network is designed to foster a collaborative environment where fraud teams can lean on a trusted group of peers when they encounter anomalies that require a second opinion or broader context. A key technical aspect of this rollout is the ease of integration. Both tools are designed to function within a credit union’s existing systems, requiring no additional software installations or internal IT resources. This lowers the barrier to entry for smaller institutions that may lack the technical bandwidth for complex security overhauls.

This institutional focus complements the Association’s existing Stop Fraud NM initiative. While the previous program focused on member education regarding imposter calls, employment schemes, and romance scams, the Rippleshot partnership targets the technical side of card fraud and merchant-level risk. The initiative covers the entire state of New Mexico, where credit unions serve a combined total of more than one million residents.

"Fighting fraud is a multi-faceted endeavor. Rippleshot will give our credit unions one more tool to use to keep the over one million New Mexican credit union members safer from frauds and scams,"

Melia D. Heimbuck, President and CEO of Credit Union Association of New Mexico.

The companies involved

The Credit Union Association of New Mexico was founded in 1958 and serves as a central hub for advocacy, education, and collaboration for credit unions throughout the state. It represents institutions that collectively serve over one million New Mexicans, roughly half of the state's population. Beyond its advocacy work, the Association operates the Credit Union Foundation of New Mexico, which focuses on community impact, professional development, and financial literacy. Its Stop Fraud NM initiative has been a cornerstone of its efforts to protect consumers from the evolving landscape of financial crime, focusing heavily on the human element of scams and member-facing education.

Rippleshot is a fraud analytics company headquartered in Chicago. The firm specializes in using data science and network-wide pattern recognition to help financial institutions identify compromised cards and high-risk merchants. Rippleshot’s approach relies on the "intelligence collective" model, where data from various institutions is aggregated to provide a more comprehensive view of fraud trends than any single credit union could achieve on its own. By focusing on proactive detection rather than reactive recovery, the company positions itself as a critical layer in the modern fintech security stack. The company's leadership, including Nalani Brown, VP of Operations at Rippleshot, emphasizes a person-centric approach to data analytics, recognizing the individual impact of financial crime on the members served by their partner institutions.

What this means

This partnership highlights a growing trend where regional trade associations act as technology aggregators for smaller financial institutions. For New Mexico’s credit unions, the primary challenge in fraud prevention is the asymmetry of information; criminals often hit multiple small institutions before a pattern is recognized. By adopting a collective intelligence model, these credit unions are effectively pooling their data to match the defensive capabilities of much larger national banks. This move puts pressure on traditional fraud detection vendors who rely on siloed data sets or require heavy IT lifts for implementation. The success of this rollout will likely depend on the active participation of fraud teams within the peer network to ensure real-time efficacy. It also raises questions about how quickly other state associations will move to provide similar institutional-grade tools to their members as card-not-present fraud and merchant-level compromises continue to rise across the United States.