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Our Client’s Stories in Their Own Words
DataVisor 🤝 NASA Federal Credit Union
DataVisor 🤝 Galileo
DataVisor 🤝 DCI
Proven Track Record at Scale
See how DataVisor's AI-driven fraud and AML platform has transformed businesses worldwide. Explore real case studies that showcase the power of our solutions in reducing fraud, improving operational efficiency, and safeguarding customer trust.
Global Credit Union
85% Faster Alert Reviews
NASA FCU faced a fragmented fraud and AML management system, with each department using its own siloed solutions. They needed a unified platform that could handle a wide range of fraud and AML use cases, including member applications, loan applications, and various payment types (credit cards, ACH, wire transfers).
DataVisor implemented a centralized fraud and AML management platform, powered by both supervised and unsupervised machine learning models, along with a rules engine and knowledge graph to detect previously unseen emerging patterns and hidden relationships
- 40% reduction in manual review alert volume.
- 85% reduction in manual review time.
- 20% increase in fraud detection precision.
Global Card Network
5x Faster Model Development
The global card network struggled to keep up with rapidly changing fraud tactics due to fast model decay and long model build times. They lacked the infrastructure to handle large-scale data across multiple channels, resulting in slow and inefficient fraud detection.
DataVisor deployed a fraud prevention platform using unsupervised machine learning to detect unknown fraud patterns and a rules engine to adapt to evolving threats. The solution provided real-time fraud detection with minimal operational impact.
- 20% increase in fraud detection.
- 94% detection accuracy.
- 5x faster model development, reducing build time from months to weeks.
Global Online Marketplace
60% Boost in Operational Efficiency
Taskrabbit faced rising fraud threats as they scaled rapidly, with fraudsters abusing their platform with account takeovers (ATO). large-scale mass registration of fake accounts, and collusion fraud.
DataVisor deployed an enterprise-level solution, which included advanced machine learning models, device and behavior intelligence, the Rules Engine, Case Management, and Knowledge Graph. These tools provided real-time fraud detection, enabled the visualization of hidden fraud networks, and streamlined fraud operations, allowing Taskrabbit to detect and prevent fraudulent activities faster and more effectively.
- Millions saved in fraud-related losses.
- 60x boost in operational efficiency.
- 25x faster response time to fraud attempts
BNPL (Buy Now, Pay Later) Provider
5x Reduction in Hurt Ratio
The BNPL provider faced increasing fraud risks as it expanded, including synthetic identity fraud, account takeovers, and abuse of promotions. The fraud detection system in place struggled to balance the growing fraud threats with a seamless customer experience.
DataVisor implemented a large-scale fraud management solution with both supervised and unsupervised machine learning models. With a 360-view, real-time analysis, and a comprehensive rules engine, the client strengthened fraud detection while maintaining a smooth customer experience.
- 41% reduction in the hurt ratio
- 5x improvement in review efficiency
- 320+ fraud rings detected
U.S. Based Card Issuer
50% Increase in Fraud Capture Rate
A large U.S. based card issuer struggled with high false positives, slow case review processes, and an inability to detect emerging fraud patterns. Their legacy fraud detection system was unable to catch fraud rings in real-time, leading to customer dissatisfaction and operational inefficiencies.
DataVisor implemented a fraud detection solution using both supervised and unsupervised machine learning models. The solution overhauled the client’s case management system, integrating multiple data sources for a streamlined review process, reducing review time, and improving detection accuracy.
- 40% reduction in false positives.
- 50% increase in fraud capture rate.
- Reduced case review time to less than 1 minute per case.
Global Crypto Exchange
92% of Fake Accounts Detected Before Loss
One of the top five crypto exchanges faced a surge in account takeovers, ACH fraud, and credit card fraud as they expanded rapidly. Fraudsters were exploiting the platform’s promotion incentives, creating fake accounts and abusing the system, leading to financial losses and a degraded customer experience.
DataVisor implemented an AI-powered fraud detection platform using both supervised and unsupervised machine learning. The platform helped detect fraudulent activities in real time, including fake accounts, ACH fraud, and abuse of promotional incentives, while ensuring scalability and reducing manual reviews.
- 92% of fraud was detected before incentives disbursed
- 83% of cases were automated, reducing manual reviews
- 42% lift in detection accuracy
Join Our Growing Community
Connect with industry leaders, gain exclusive insights, and get ahead in fraud, AML, and risk management.
Where Leaders Gather
The DEFEND series of events bring together industry leaders to exchange insights, share experiences, and tackle the future of fraud and money laundering prevention together.
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Defend Webinar
Leading experts share behind the scenes insights, strategies, and tips for fraud prevention, AML, and risk management for a safer financial world.
Customer Success That Speaks for Itself
At DataVisor, client satisfaction is our top priority. With over a decade of experience, we’ve never lost a customer seeking a better solution—proving our commitment to innovation, partnership, and lasting success.