Search Icon
play btn

In this Identity Insights video, SVP of Fraud and Risk Yigit Yildirim shares how Socure’s Sigma Fraud model promotes financial inclusion while using human-in-the-loop machine learning. When the model is uncertain about a decision, it calls for a Socure fraud investigator to provide insights and training data.

In such cases, our fraud investigators analyze the situation and provide the right insights. If the humans are not certain about a decision, we use sophisticated machine learning techniques to decrease potential bias during the investigation.

Read the full transcript for the video here.

Resources

Blog

Machine Learning versus Rule-Based Systems

Learn More

Case Study

How a Top Five U.S. Bank Rooted Out Mules & Synthetics from its Customer Accounts

Learn More

Report

Defining and Solving the Elusive Challenge of First-Party Fraud

Learn More