Leveraging Machine Learning and Artificial Intelligence for Fraud Prevention

نویسندگان

چکیده

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

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ژورنال

عنوان ژورنال: SSRG international journal of computer science and engineering

سال: 2023

ISSN: ['2348-8387']

DOI: https://doi.org/10.14445/23488387/ijcse-v10i5p107