The art and science of screening in the KYC and AML world has certainly come a long way from the days of manually checking for names and organizations against a short list. Risk factors have evolved exponentially, increasing regulations have influenced risk appetites, and powerful technologies like Machine Learning (ML) and Generative AI (GenAI) have caught on like wildfire.

In this episode of KYC Decoded, in-house experts Mike Xu, Data Strategy Director, and Victor Cotillon, Risk & Screening Product Strategist, provide valuable insights into the role of Machine Learning when screening. Highlights of their conversation with host, Alex Pillow, include:

What screening means and why it is performed by KYC and AML practitioners
The concept of ‘fuzzy matching’
How technologies help weed out false positives when name matching
Pros and cons of integrating ML into an intelligent screening process
Keep human’s in the loop when using more sophisticated ML

Interested in learning more? Check out the resources below mentioned in this episode:

If you want to learn more about intelligent risk and compliance screening for your organization, please visit our website and feel free to reach out – we would love to hear from you!

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