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Application fraud costs banks billions of dollars each year, with less than a quarter of those losses being recovered. As fraud rates continue to climb and fraud teams struggle with operational resources, many banks are turning to machine learning for effective, accurate, and scalable detection without impacting good customers.
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.