It may not sound like news to say that fraudsters are becoming more sophisticated, but as fraud attacks constantly evolve to evade detection (and to “cash in” on consumer-facing online services and applications), it’s clear that traditional solutions are struggling to keep up. Conventional machine learning fraud solutions rely on historical examples of attacks for model training.

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