AI-Driven Intelligent Solutions: Leveraging Machine Learning to Combat Financial Crimes

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Author(s): Saurabh Chandra (Bennett University, India)
Copyright: 2025
Pages: 22
Source title: Forensic Intelligence and Deep Learning Solutions in Crime Investigation
Source Author(s)/Editor(s): Christian Kaunert (Dublin City University, Ireland), Anjali Raghav (Sharda University, India), Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia)and Bhupinder Singh (Sharda University, India)
DOI: 10.4018/979-8-3693-9405-2.ch001

Keywords: Criminal Science and Forensics / Digital Crime & Forensics / Information Science Reference / Security & Forensics

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Abstract

This chapter discusses how machine learning (ML) is transforming the face of anticorruption or anti-fraud landscape in financial institutions. Given that most financial crimes have become much more complex than ever before, traditional methodologies have fallen behind in terms of the detection of these crimes and this has led to a significant spike in false positives and operational inefficiency. Even with its promise, issues like data quality, algorithmic bias, and regulatory compliance continue to be major challenges. Adopting such smart solutions can help organizations bolster their defences against financial crimes while also enhancing broader operational efficiency.

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AI-Driven Intelligent Solutions: Leveraging Machine Learning to Combat Financial Crimes

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