A new era in financial crime partnerships

Financial crime transcends national borders, industries and financial institutions, which is why collaborative partnerships are essential to detect, deter and disrupt serious and organized crime. In the world of anti-money laundering (AML) regulation and financial intelligence, the Australian Transaction Reports and Analysis Centre (AUSTRAC), has...
Meme coin mania and mayhem: Navigating the blind spots

Sentiment-based virtual currencies, colloquially known as ā€œmeme coins,ā€ are virtual currencies inspired by social and cultural trends. Once regarded as momentary internet comedy, meme coins attracted both retail and institutional investors and quickly captured a significant share of the cryptocurrency market. The meme coin market...
AI-driven AML strategies: Compliance, risk mitigation and regulatory best practices

Recent case studies, including high-profile artificial intelligence (AI)-driven fraud incidents in Hong Kong1 and India,2 highlight the growing threat of AI-enabled financial crime, particularly in the Asia-Pacific region. At the same time, some leading FIs3 are adopting AI-enhanced anti-money laundering (AML) programs, utilizing natural language...
Transforming model validation in sanctions screening

Artificial intelligence (AI) and machine learning are positively impacting sanctions screening. More organizations are benefiting from reducing false positives, improving match accuracy and, overall, making screening engines more efficient. However, what about the other side of the equation―making sure those screening engines are doing their...