Resource Center Industry insights, news, and announcements

AML thresholds are a cornerstone of risk-based approaches but come with several challenges. They are often a significant source of false positive alerts due to their generic nature. However, raising all thresholds to reduce false positives and missing genuine financial crime risk is not an acceptable trade-off either. We explore how AI can help.

Michael Shearer, Hawk's Chief Solution Officer, shares some of his learnings on how to implement AI within AML and fraud prevention operations – and also what should be avoided.

We asked Michael Shearer, Chief Solution Officer at Hawk, to tell us about why he’d written a book on entity resolution and its importance to anti-financial crime (AFC) programs.

We share our list of the top 20 money laundering books. Learn how criminals exploit financial systems and how experts fight fraud, corruption, and other forms of financial crime.

In this article, we discuss how rule experimentation tools can help banks test AML transaction monitoring rules. Learn how these tools make rule experimentation less expensive, faster, and easier. 

In this article, we explore how Entity Risk Detection technology helps banks solve risk management problems by surfacing unknown money laundering, fraud, and sanctions risk in customer attribute data.

We discuss how AI technology can help banks perform more trigger-based AML checks instead of periodic reviews, making their AML programs more effective and efficient. 

In this article, we discuss how Entity Risk Detection technology helps financial institutions identify entity risk at onboarding, connections to higher-risk entities, shell company risk, and account opening fraud risk.

Learn about the Wolfsberg Group's Statement on Effective Monitoring for Suspicious Activity, which recommends that banks move from AML transaction monitoring only to a broader approach incorporating more customer data. 

Learn how banks and other financial institutions can facilitate partnerships with BaaS providers to create new business opportunities while maintaining AML compliance. 

Learn how Generative AI can help Financial Institutions detect sanctions violations, money laundering, and fraud, aid investigations, and improve QA processes.

The FCA has recognized machine learning, entity resolution, and network analysis as key tools in the fight against financial crime going forward.