FIGHTING INTERNAL BANKING FRAUD WITH MACHINE LEARNING: BENEFITS AND PRACTICAL EXAMPLES
This webinar took place on 2 October 2018. You may watch the recording below.
About this webinar
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.
With this webinar, you’ll 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
Co-Founder & CEO