What is the role of machine learning in fraud detection systems? 🔊
The role of machine learning in fraud detection systems is to identify unusual patterns and behaviors in transaction data that may indicate fraudulent activity. By employing algorithms that learn from historical data, these systems can adaptively recognize and flag potential threats. This proactive approach improves the accuracy and efficiency of fraud prevention measures, protecting organizations from financial losses.
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