Archived Webinar

Mitigating and Managing Deposit Fraud Losses

Cross-Channel Analysis & Machine Learning for Improved Fraud Detection

Financial institutions across the country are facing an increasing number of deposit fraud attacks as criminals exploit the anonymity and convenience of ATM and mobile channels. Meanwhile, consumers are increasingly falling victim to fraud scams, which can have significant emotional and financial effects.

Leveraging big data intelligence, Verafin applies machine learning and targeted, cross-channel analysis to uncover a wide range of risk factors indicative of fraudulent deposit activity, minimizing alerts and keeping you a step ahead of the latest criminal advances. Join us for an overview of Verafin’s Fraud Detection and Management solution as our experts illustrate how Verafin’s centralized platform provides a complete picture of fraud across all channels for enhanced reporting, strategic planning, and more effective loss prevention.

Highlights of this engaging demonstration include:

  • Targeted alerts for first-party deposit fraud
  • Targeted alerts for deposit fraud scams
  • Machine learning deposit fraud models
  • Risky check analysis
  • Fraud management solutions

Tagged as...

  •   Artificial Intelligence
  •   Deposit Fraud
  •   Fraud
  •   Fraud Management
  •   Fraud Scams