NG Webinar Series
Fighting Internal Banking Fraud with Machine Learning:
Benefits and Practical Examples, 2 October 2018
Internal fraud can take place at any level of organization. Fraud costs $3.7 trillion each year and nearly 75 % of the banking fraud is internal (ACFE, 2016). Even if a bank successfully wards of attackers, there is always the risk of insiders abusing the precious information they hold.
Machine learning and artificial intelligence (AI) create $1 trillion of change in the financial services industry. Likewise, the impact of machine learning and AI on fraud detection and prevention is tremendous.
Register for this webinar to learn first-hand from NetGuardians CEO Joel Winteregg and CTO Jerome Kehrli:
How banks are using machine learning and AI to prevent internal fraud in real-time
Why is it better to complement rules with machine learning for internal fraud prevention. What are the benefits?
How banks implement NetGuardians’ machine learning solution for internal fraud prevention
Solution examples in real-life
30 minutes presentation + 15 minutes Q&A