Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

Among the key uses of AI in compliance, and in general, is the fight against money laundering. Machine learning algorithms ...

Tax fraud is a persistent global challenge, with annual losses surpassing USD 1 trillion in corporate tax revenue alone. The ...

Introduction Generative AI (GenAI) has rapidly shifted from a futuristic concept to a core driver of transformation in ...

WASHINGTON – The Centers for Medicare and Medicaid Services (CMS), under the new administration, has made combating fraud, ...

2023 DEC 29 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Policy and Law Daily-- Current study results on Machine Learning have been published. According to news originating from Orleans, ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. This has been fuelled by the proliferation of technology ranging from ...

Before Covid-19 financial institutions saw a 10:1 ratio of bot-based malicious to legitimate login attempts, according to Aite Group's Fraud & AML practice. Malicious login attempts are setting new ...

Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...