Top use cases for risk analytics in banking
Digital and mobile banking are under attack – and the threats are increasingly faster, more sophisticated, and automated. Fraud managers and analysts face a round-the-clock battle as they try to identify and stop fraud before customers are affected. To help financial institutions manage the risks without shifting the burden to the customer, our security experts will review the top use cases for risk-based analytics in banking. Get actionable insights and tested approaches to fighting account takeover fraud, mobile channel attacks, and new account fraud, using real-time analytics driven by machine learning.
Highlights will include:
- Different techniques that lead to account takeover attacks
- How to protect customers without compromising on user convenience
- How to select and implement security tools that improve authentication, protect the mobile channel and monitor fraud
- Key capabilities from a modern-based fraud prevention solution that protects your customers’ accounts
Will LaSalaWill LaSala is director of security solutions and a security evangelist for OneSpan.
David VergaraDavid Vergara is head of security product marketing for OneSpan.