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Navigating the Complex World of Evolving Financial Regulations: A Closer Look at Switzerland’s AML Reforms for Beneficial Ownership
The financial landscape is a dynamic and ever-evolving ecosystem. In an era marked by technological advancements and globalisation, financial regulations are constantly adapting to keep pace with emerging challenges. Switzerland, renowned for its robust financial sector, is no exception to this trend. Recently, the country has been floating AML (Anti-Money Laundering) reforms that particularly focus […]
Navigating the Future of Financial Crime: The Pros and Cons of AI and Machine Learning
The landscape of financial crime is evolving at an unprecedented pace. As technology advances, so do the strategies employed by criminals seeking to exploit vulnerabilities in the financial sector. In response to these challenges, artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools in the fight against financial crime. However, while they […]
What Is AI/ML Anomaly Detection
Anomaly detection is an advanced technique that uses an organisations’ data and machine learning to detect behaviour that doesn’t fit within the expected normal behaviour profile. This module works an additional filter for suspicious transactions over and above the ComplyRadar rules engine. There are different types of anomalies that can be detected, including: Point anomalies; […]
Using AI and machine learning to fight money laundering
Data scientists have done a great deal for us in the way of making our financial lives easier and, without a doubt, more secure than ever before. These advancements aren’t always used for good, however. While technology has brought the financial world forward in leaps and bounds, it’s worth remembering that this same technology is […]
