Leveraging Machine Learning and Artificial Intelligence for Fraud Prevention

International Journal of Computer Science and Engineering

© 2023 by SSRG - IJCSE Journal

Volume 10 Issue 5

Year of Publication : 2023

Authors : Pankaj Gupta

10.14445/23488387/IJCSE-V10I5P107

How to Cite?

Pankaj Gupta, "Leveraging Machine Learning and Artificial Intelligence for Fraud Prevention," SSRG International Journal of Computer Science and Engineering , vol. 10,  no. 5, pp. 47-52, 2023. Crossref, https://doi.org/10.14445/23488387/IJCSE-V10I5P107

Abstract:

Fraud remains a pervasive global issue, affecting individuals and organizations alike. In the modern technology-driven landscape, the role of machine learning (ML) and artificial intelligence (AI) has become paramount in combating fraud across various sectors. This article critically examines traditional fraud prevention methods, highlighting their limitations in the face of ever-evolving fraudulent tactics. It further explores how ML and AI technologies revolutionise fraud prevention efforts by facilitating rapid digitalization. By harnessing the power of ML algorithms and AI techniques, organizations can effectively analyze massive volumes of data, uncover patterns, and identify abnormal behaviors that often signify fraudulent activities. This article delves into the invaluable role played by ML and AI in augmenting fraud prevention through advanced data analytics, anomaly detection, and predictive modeling. It emphasizes how these technologies enable organizations to detect and mitigate fraud risks proactively, thus safeguarding their operations and stakeholders.

Keywords:

Artificial Intelligence, Data Lake, Fraud, Machine Learning, Models, Real Time Monitoring.

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