Webinar: 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.
Register for this webinar on 12 November at 3pm GMT to learn more about:
- Different techniques that lead to ATO 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.
Speakers
Will LaSala is Sr. Director of Global Security Solutions at OneSpan and he brings over 25 years of software and cybersecurity experience.
Since joining OneSpan, LaSala has been involved in all aspects of product implementation and market direction within financial institutions as well as top Fortune 500 organisations for enterprise security, healthcare, US government, online gaming and mobile application development.
He currently empowers the markets and OneSpan’s largest clients with direct communication of new products and features and security changes. A security evangelist on mobile application development and authentication, LaSala is frequently quoted in the media and a frequent speaker at industry events.
David Vergara is Sr. Director of Security Product Marketing at OneSpan and has more than 11 years of experience in the software security space.
Prior to OneSpan, he was VP Marketing for Accertify (an American Express company) leading go-to-market strategy for their online fraud detection solution and he was Sr. Director Product Marketing at IBM with product marketing responsibility for the advanced and predictive analytics portfolio.
