CUNA Mutual Group: How Credit Union Leaders Can Mitigate Risk with Big Data and Machine Learning


In an era of evolving card fraud threats and data breaches, credit union leaders are constantly looking at ways to protect themselves, and their members. One of the biggest problems credit unions face today is relying on traditional network alerts, which can be costly in terms of fraud loss and member experience. Reducing the time from when an incident occurs to when it’s detected is critical in containing the spread of fraud threats.

Mitigating risk and serving your members starts with determining how sophisticated machine learning and data analytics tools can be used to identify and act on fraud sooner. These tools provide your fraud team with actionable insights into the greatest risks across your card portfolio — and how to prioritize them. 

For more information on this data driven tool, click here

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