Volume 2 - Issue 2, March - April 2026

The rapid growth of digital transactions, online banking, e-commerce, and financial technologies has significantly increased the risk and complexity of fraudulent activities. Traditional rule-based fraud detection systems are no longer sufficient to detect sophisticated, evolving, and large-scale fraud patterns. Artificial Intelligence (AI) has emerged as a powerful solution to address these challenges by enabling intelligent, real-time, and adaptive fraud detection mechanisms. This study explores the application of Artificial Intelligence in fraud detection and management across various domains such as banking, insurance, e-commerce, and cybersecurity. AI techniques including Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and anomaly detection algorithms are used to identify unusual patterns, detect suspicious transactions, and predict fraudulent behavior with high accuracy. Unlike traditional systems, AI-based models continuously learn from historical data, adapt to emerging fraud trends, and reduce false positives. Furthermore, AI enhances fraud management by automating risk assessment, prioritizing alerts, and assisting investigators through intelligent decision-support systems. The integration of big data analytics and AI enables organizations to analyze vast volumes of structured and unstructured data in real time, strengthening security frameworks and minimizing financial losses. Although AI-driven fraud detection systems offer significant advantages, challenges such as data privacy concerns, model bias, adversarial attacks, and high implementation costs must be carefully managed. The research concludes that Artificial Intelligence plays a transformative role in modern fraud detection and management systems, improving efficiency, scalability, and accuracy while strengthening organizational resilience against financial crimes.

Mr.R.Janarthanan, S.Vaishnavi, G.Kalaivani, "Artificial Intelligence Application in Fraud Detection and Management" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(72-77) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.