Assessing the Impact of Forensic Auditing Techniques on Fraud Detection in Multinational Corporations

Posted: Aug 29, 2023

• Finnley Torres
• Addie Parker
• Reese Morgan

Abstract

This research presents a novel computational framework for forensic auditing that integrates quantum-inspired anomaly detection algorithms with traditional accounting methodologies to address the growing challenge of sophisticated financial fraud in multinational corporations. Traditional forensic auditing techniques have struggled to keep pace with the increasing complexity of cross-border financial transactions and the sophisticated methods employed by modern fraudsters. Our approach introduces a hybrid methodology that combines quantum computing principles with machine learning to analyze financial data across multiple dimensions simultaneously, enabling the detection of subtle fraud patterns that conventional methods often miss. We developed and tested our Quantum-Inspired Forensic Audit Framework (QIFAF) on a comprehensive dataset comprising over 2.3 million transactions from 47 multinational corporations across different industries and geographical regions. The framework demonstrated a 34.7