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Blasts off with Unified Real-Time FRAML Platform, saving 50-60% while Boosting Detection, and Reducing False Positives and SAR Filing Time
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MOUNTAIN VIEW, Calif. — DataVisor, the AI-native real-time decisioning platform for fraud and financial crime prevention, today announced that its customer, NASA Federal Credit Union (NASA FCU), won the C elent Model Risk Manager of the Year award. Celent, a global financial services research and advisory firm, cited NASA FCU for its modernization of fraud prevention and AML through a unified, AI-native real-time FRAML platform. By replacing a legacy solution with DataVisor, NASA FCU reduced operating costs by 50–60% while marking dramatic improvements across fraud detection, false positives, review time, and SAR filing through a combination of unified data, real-time decisioning, machine learning, and AI agents.
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“At NASA Federal, innovation is about creating better experiences for our members and making our organization more efficient and effective,” said Doug Nahas, Chief Operating Officer of NASA Federal Credit Union. “DataVisor enabled us to further embrace AI and automation, enhancing our ability to manage risk, improve operational efficiency, and empower our teams to spend more time focused on serving our members.”
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“DataVisor is helping move financial crime risk management past the old divide between fraud and AML,” said Ian Watson, Head of Risk Research at Celent. “By rebuilding NASA Federal Credit Union’s onboarding, detection, and investigation on a single real-time FRAML foundation, they used machine learning, unified case management, AI-assisted rule optimization, and AI-generated SAR narratives working from a shared intelligence layer to deliver clear results: fewer false positives, stronger detection, faster investigations, reduced SAR filing time, and meaningful operational savings.”
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Serving more than 244,000 members worldwide, NASA Federal Credit Union is committed to helping members achieve lifelong financial success through exceptional service and innovative financial solutions. As financial crime threats have evolved, the credit union invested in AI-powered technologies that enable faster decision-making, streamline operations, and strengthen risk management while delivering greater value to members.
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The credit union had already been using DataVisor for fraud detection, enjoying the benefits of a more flexible, data-first architecture. Running separate fraud and AML systems was more costly and required duplicate vendor relationships, integrations, and manual handoffs. That contrast made the limitations of the legacy AML environment harder to justify and set the stage for a broader shift to FRAML. The industry has long recognized the benefits of bridging these areas. But achieving the full potential of FRAML requires unifying infrastructure and data.
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To achieve this goal, the institution expanded its work with DataVisor into a broader FRAML model. DataVisor’s unified platform consolidated fraud, AML, third-party intelligence, and behavioral signals into a unified intelligence layer—enabling real-time decisioning. The platform empowers fraud and AML teams to work together to improve detection, reduce manual effort, accelerate regulatory reporting, and decrease platform costs. DataVisor’s AI agents helped NASA FCU move from manual, time-intensive processes to AI-assisted optimization and reporting. The results were significant:
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- 42% reduction in AML false positives while maintaining 100% true positive retention.
- 41% reduction in manual review time, reducing backlogs from days to hours.
- 20% improvement in fraud detection precision.
- 90% reduction in SAR filing time through AI-assisted narrative generation.
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“Financial institutions can no longer rely on disconnected fraud and AML systems built for a different era,” said Patrick Harr, CEO of DataVisor. “NASA Federal Credit Union recognized the opportunity to modernize on a unified AI-native platform that delivers real-time decisioning, stronger detection, greater operational efficiency, and a better member experience. We are proud to partner with them as they continue to lead the industry in modern fraud and financial crime prevention.”
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About DataVisor
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is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.
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About NASA Federal Credit Union
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Founded in 1949, NASA Federal Credit Union serves more than 238,000 members worldwide and manages approximately $5.7 billion in assets. Dedicated to helping members achieve lifelong financial success, the credit union provides exceptional service, innovative financial solutions, and a commitment to the financial well-being of the communities it serves.
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About Celent Model Risk Manager Awards
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Celent’s annual Model Risk Manager Awards recognize the best practices of technology usage in different areas critical to success in Risk. Nominations are submitted by financial institutions and undergo a rigorous evaluation process by Celent analysts. Celent judges submissions on three core criteria: the degree of innovation, technology or implementation excellence, and demonstrable business benefits.
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Celent’s annual award program recognizes financial institutions as ‘model risk managers’ for their outstanding technology initiatives. To win, initiatives must demonstrate clear business benefits, innovation, and technology or implementation excellence.
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