AI in Fraud Detection
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The quick digitalization of financial systems has rapidly increase the efficiency of financial transactions and created a new opportunity for fraudulent activities in the finance world. Detecting fraud has therefore become a major challenge for financial institutions. Traditional fraud detection methods rely on rules and historical patterns and usually fail to adapt to the evolving of the modern financial fraud. In this context, artificial intelligence and machine learning techniques has emerged and integrated as a powerful tool for fraud detection systems. This shows the effectiveness of AI based models and identifying fraudulent financial activities compared to the traditional available approaches. AI systems can detect hidden structures that are difficult to identify manually and quickly by analyzing large data sets of financial transactions. The findings suggest that AI Detecting accuracy especially in complex environments. However, challenges such adaptability to new fraud patterns and trends remain significant. The study concludes that AI should be used as a complementary and side tool along to the traditional methods to strengthen financial security systems and reduce fraud risks.
Keywords
Anomaly Detection, Artificial Intelligence, Financial Security, Fraud Detection, Machine Learning