Using Machine Learning for Fraud Protection in Financial Services

Achieve high ROI, easy deployment and real-time detection.

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Fraud is at a record high, racking up a collective $42 billion in losses in 2019 alone — and financial institutions are a prime target. It’s time to move beyond reactive fraud detection methods and adopt real-time, proactive tools that stop fraud at the gate.

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About DataVisor

Bots attacks cost companies roughly $80 billion a year. How do they work, and how can you stop them? In our latest ebook, DataVisor CTO and co-founder, Fang Yu, explains why coordinated bot attacks are so difficult to detect and prevent, and shares proactive strategies for protecting your organization.