Tag: Federated Learning

Banks don’t struggle with KYC because they cannot access data; the bigger failure is that customer risk stops evolving once the onboarding file is...

Artificial intelligence is rapidly altering how financial institutions manage anti-money laundering programmes, but the shift brings a central question into focus: how can banks...

In the world of anti-money laundering (AML), credibility depends on more than mathematical performance. If models cannot be explained clearly, executives won’t trust them...

Fentanyl is one of the most lethal narcotics in circulation, and the funds that sustain its trade often slip past traditional financial crime controls....

Monzo’s £21m fine by the Financial Conduct Authority (FCA) has become a stark reminder for the banking sector: scale without control is not success....

Collaboration in anti-money laundering (AML) is widely acknowledged as essential, yet progress remains limited. While credit reference agencies already share data across industries and...

Cross-border money laundering thrives where rules diverge. Criminals exploit the inconsistencies in supervision, disclosure, and enforcement across jurisdictions, flowing funds through loosely monitored entities,...

Smaller financial institutions are facing mounting structural challenges in meeting anti-money laundering (AML) requirements, despite being held to the same regulatory standards as their...

In many banks, anti-money laundering (AML) alerts are handled in the order they’re received, not by the level of risk they represent. This outdated...

As financial crime grows more complex and voluminous, traditional AML systems are struggling to keep up. In 2023 alone, financial institutions in the US...