Fighting digital banking fraud with machine learning: benefits and practical examples

Cyber fraud is projected to reach $6 trillion by 2021. While adoption of new technologies has created new channels to give customers a unique anytime anywhere banking convenience, the systems that banks depend on to deliver their services have multiplied and grown much more complex. Bridging the gap between adapting new digital technologies and keeping the systems secure has become one the biggest challenges for banks.

This webinar covers:

• latest challenges and digital banking fraud use cases
• how machine learning technology helps banks prevent fraud in real-time
• how to reduce human errors and false positives
• practical examples

30 minutes presentation + 15 minutes Q&A