Tag: Machine Learning

As financial institutions double down on efforts to detect money laundering and fraud, automated systems have become indispensable to AML operations. Yet these tools...

Sanctions compliance has traditionally relied on name-based screening and public watchlists to flag potential threats, but as financial crime tactics evolve, this approach is...

WorkFusion has teamed up with 1LoD to produce a comprehensive Financial Crime Benchmarking Survey & Report, offering fresh insight into how top global banks...

In an increasingly complex global risk landscape, the quality and timeliness of screening data have become central to compliance strategies.

Effective onboarding has become a critical business function, serving not just as the first touchpoint for customers and vendors but as a reflection of a company’s values and operational maturity.

Artificial intelligence is no longer a future prospect for financial services; it is a present reality, evolving quickly and reshaping the compliance landscape. From enhancing risk detection to improving operational efficiency, AI offers immense potential. However, its rapid adoption also brings fresh regulatory questions, new risks, and ethical challenges.

Palo Alto Networks has announced the acquisition of Protect AI, a company specialising in securing AI and ML systems, particularly within enterprise environments. The acquisition...

Customer Risk Ratings (CRRs) have long been integral to anti-money laundering and counter-terrorist financing (AML/CFT) frameworks.

Traditional KYC processes are increasingly struggling to keep pace with the demands of modern financial services. However, the rise of AI and ML is reshaping how compliance teams operate, delivering faster, more accurate, and more scalable solutions.

In the US, KYB is not just a regulatory requirement but a fundamental practice critical for maintaining the integrity of financial operations and fostering trust within the business ecosystem.