İŞLETMELERDE, HİLE TESPİTİ VE ÖNLENMESİ SÜREÇLERİNDE YAPAY ZEKÂ UYGULAMALARIYLA VERİMLİLİĞİN ARTIRILMASI

Abstract

Finansal hilelerin tespit ve önlenmesinde yapay zekâ uygulamalarının rolü giderek önem kazanmaktadır. Geleneksel denetim yöntemlerinin sofistike hile tekniklerini tespit etmede yetersiz kaldığı günümüz iş dünyasında, yapay zekâ teknolojisi, büyük veri setlerini analiz ederek anormallikleri tespit etme, öngörücü analizlerle gelecekteki hileli işlemleri tahmin etme ve gerçek zamanlı izleme gibi yeteneklerle öne çıkmaktadır. Bu yetenekler, işletmelerde operasyonel maliyetleri azaltma ve yanlış pozitif sonuçları minimize etme avantajları sunmaktadır. Ancak, yapay zekânın veri kalitesi, model açıklanabilirliği ve düzenleyici gereklilikler gibi zorluklarla karşı karşıya kaldığı da unutulmamalıdır. Bu nedenle, işletmelerin hileye karşı etkin bir savunma oluşturmak için klasik yöntemleri yapay zekâ teknolojisi ile entegre bir şekilde kullanmaları gerekmektedir

Keywords

• Yapay zeka
• hile
• hile denetimi
• işletme
• verimlilik.

INCREASING EFFICIENCY WITH ARTIFICIAL INTELLIGENCE APPLICATIONS IN FRAUD DETECTION AND PREVENTION PROCESSES IN ENTERPRISES

Abstract

The role of artificial intelligence applications in the detection and prevention of financial fraud is becoming increasingly important. In today's business world where traditional audit methods are insufficient to detect sophisticated fraud techniques, artificial intelligence technology stands out with capabilities such as detecting anomalies by analysing large data sets, predicting future fraudulent transactions with predictive analyses and real-time monitoring. These capabilities offer the advantages of reducing operational costs and minimising false positives. However, it should be noted that artificial intelligence faces challenges such as data quality, model explainability and regulatory requirements. Therefore, businesses need to use classical methods integrated with artificial intelligence technology to create an effective defence against fraud.

Keywords

• Artificial Intelligence
• fraud
• fraud audit
• business
• efficiency

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