Using AI + Graph to Protect and Secure the Multi-Trillion Dollar Credit Union Industry

Improving examinations of the 4,686 federally-backed credit unions has never been more important.

Choosing where and how examiners spend time and effort in pursuit of potential fraud and policy non-compliance is key to preserving the health of one of the bedrocks of the U.S. financial system.

In that spirit, this whitepaper will discuss how the NCUA can partner with GraphGrid to implement a system that pairs knowledge graphs with Natural Language Processing (NLP) to automate tedious tasks for examining the health of the nation’s credit unions and the more than $2.2 trillion in total assets they oversee.