How to address fraud through the use of machine learning-based risk analytics
Account Takeover is one of the biggest threats that banks are facing today. With 3.8 billion data records compromised worldwide in 2018, it is evident that despite implementation of cyber security measures, digital channels remain vulnerable.
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. In light of PSD2, European banks already focused on Strong Customer Authentication (SCA).
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.
Tune in to this webinar on Thursday 7 May 3:00pm AEST / 5:00pm NZST / 1:00pm SGT to learn:
- Current landscape of digital attacks and threats that leave banks vulnerable
- Best practice approaches to protecting against account takeover fraud with proven technologies such as machine learning-based risk analytics
- Why real-time, cross-channel data analysis can save your customers from becoming the next victim
Ben Balthazar, Fraud Consultant, OneSpan
Complimentary for FSI Executives only