How To Address Fraud Through Machine Learning Based On Risk Analytics

Logo
Presented by

Greg Hancell & Ben Balthazar, OneSpan

About this talk

Account Takeover is one of the biggest threats that banks are facing today. Adversaries have a variety of weapons at their disposal, which makes effective protection a challenge. To make matters worse, legacy anti-fraud solutions are falling short of accurately evaluating the risk. To stay ahead of their opponents, financial institutions need to reconsider their authentication process and move to contextual authentication. With the right multi-layered security approach, financial organisations can help prevent account takeover fraud and secure customers at every stage of their digital journeys. You will learn: - Current landscape of digital attacks and threats that leave banks vulnerable - Best practice approaches to protecting against account takeover fraud with machine learning-based risk analytics - Why real-time, cross-channel data analysis can save your customers from becoming the next victim Attendees will hear from: - Greg Hancell – Senior Manager, Fraud Consulting, OneSpan - Ben Balthazar - Senior Fraud Consultant, OneSpan
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (363)
Subscribers (9029)
At OneSpan, we specialize in digital identity and anti-fraud solutions that create exceptional and secure experiences. From risk-based adaptive authentication to digital identity verification, our next generation solutions are delivered on a cloud-based platform. The OneSpan Trusted Identity Platform makes it easy to integrate new and existing tools and technologies, to better detect fraud and improve the user experience. https://www.onespan.com