Identifying and addressing gaps in your AML program for enhanced risk mitigation
As regulatory expectations for financial institutions’ AML programs continue to evolve, it’s becoming increasingly important for FIs to not only achieve technical compliance with rules and regulations, but also effectively mitigate risk. In this white paper, we explore how technology can be used to identify, understand, and detect unique risks and exposure in order to ensure that AML programs are effectively mitigating the risks of financial institutions being used to facilitate illicit activity.
Download the white paper to learn more about:
- The importance of a risk-based approach in AML programs and how to effectively assess and prioritize risks
- Regulatory expectations for AML programs and the importance of effectively mitigating risk
- How technology can help detect unique risks and patterns
- Identifying and addressing risks not specifically listed in regulatory priorities
- How to use data to communicate the effectiveness of an AML program to regulatory authorities
“In this new world of AML, with more sophisticated criminals and a faster, digital-first world, technology, including continuous machine learning and simulation, will play a key role in supporting not only proper risk ID and detection, but also risk management and mitigation.”
