The 2024 Datos Impact Awards: Transaction Fraud Monitoring and Decisioning Innovation

Read about the work that earned DataVisor a leading spot in the industry for fraud detection, monitoring and decisioning.

  • Adaptive machine learning to detect new emerging threats
  • Rigorous detection accuracy with AI rule optimization
  • Reduced manual workload for the whole team
  • and much more…see real-world results in the case study

Download the Case Study

The Results

  • 60%Less Fraud Losses
  • 50%Higher Approval Rates
  • 60xBetter Operational Efficiency
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Key Insights in the Case Study

  • Unmatched Speed & Precision
    Explore how financial institutions are leveraging DataVisor’s platform to analyze and protect against fraud in real time, processing over 15,000 transactions per second with low latency of less than 50ms, ensuring swift and accurate fraud prevention.
  • Ahead of Sophisticated Threats
    Understand how adaptive machine learning enables organizations to detect both known and emerging fraud schemes, dynamically adjusting to evolving patterns before they can cause significant harm.
  • Operational Excellence Through AI
    Discover how generative AI is automating key fraud detection processes, such as rule optimization and feature engineering, reducing manual workload, increasing detection accuracy, and allowing fraud teams to react faster by quickly deploying new strategies.
  • Quantifiable Impact
    Learn about the real-world results achieved by DataVisor’s clients, including significant reductions in fraud losses, increased approval rates, and drastically improved operational efficiency.
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Interested in Unified Fraud & AML Prevention?

About DataVisor

DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe

DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.