FORENSIC ACCOUNTING AND FRAUD DETECTION: A REVIEW OF TECHNIQUES IN THE DIGITAL AGE

Abstract

This Review provides a succinct overview of the comprehensive review on Forensic Accounting and Fraud Detection, emphasizing the evolution of techniques in the digital age. As financial crimes become more sophisticated, the role of forensic accounting in uncovering and preventing fraudulent activities has gained paramount importance. This review delves into the contemporary landscape of forensic accounting, focusing on the integration of cutting-edge technologies and digital methodologies. The digital age has ushered in a paradigm shift in forensic accounting, necessitating a thorough examination of techniques that harness the power of technology to detect and combat fraud. The Review touches upon the multifaceted aspects of this review, encompassing both traditional and advanced forensic accounting methodologies. It underlines the significance of forensic accountants staying abreast of technological advancements to effectively navigate the intricate terrain of financial fraud in the modern era. The Review encapsulates the primary themes explored in the review, including the application of data analytics, artificial intelligence, blockchain, and machine learning in forensic accounting practices. It highlights the dynamic nature of financial crimes, requiring forensic accountants to adopt agile and innovative approaches to keep pace with fraudulent activities conducted through digital channels. Furthermore, the Review underscores the broader implications of this review for the field of forensic accounting, emphasizing how the synthesis of traditional investigative techniques with digital tools enhances the profession's efficacy in fraud detection and prevention. The Review aims to pique the interest of readers by offering a glimpse into the evolving landscape of forensic accounting, positioning it as a critical component in the fight against financial fraud in the digital age.
 Keywords: Forensic, Accounting, Fraud Detection, Techniques, Digital Age.