Accurately identifying customer behavioural trends and proactively preventing payments fraud and other criminal activity at the outset can be done with machine learning.
17 June 2021 390 downloads
Ingesting tens of thousands of complex signals and analysing patterns to monitor activity is more effective than blocking transactions based on hard-coded and antiquated rules. Fraudsters can learn to circumvent these, and trusted users are put at risk, which is why embedded machine learning algorithms can be valuable.
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