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...
Kleptocracy and sanctions: Keeping the proper focus

Kleptocracy is the misappropriation―or, to put it plainly, the stealing―of a country’s wealth and resources from its citizens by corrupt government officials. With the rise of kleptocracy, preventing and detecting sanctions evasion today has become a game of Whac-A-Mole for anti-financial crime (AFC) professionals. However,...
Arun Ajayagosh, CAMS, CGSS—Dubai, UAE

Arun Ajayagosh is a highly accomplished anti-financial crime professional with over 14 years of experience in anti-money laundering, counter-terrorist financing and financial crime investigations. He brings deep expertise in strategic intelligence, money laundering/terrorist financing typology development and open-source intelligence, using advanced analytical techniques to uncover...
ACAMS Pittsburgh Chapter: Joseph (Joe) Stephenson: Fighting financial crime through education and collaboration

Joe Stephenson, CAMS, vice president and Financial Intelligence Group senior coordinator at S&T Bank, spoke with the ACAMS Pittsburgh Chapter Board about his career, recent developments in anti-financial crime and other related topics. As the supervisor for the fraud team, his main responsibility is, which...