Account takeover fraud is on the rise, with attackers using advanced tactics like social engineering, bank impersonation, malware, remote device access, and fraudulent account openings.
Seth Rudin, Director of Global Advisory at BioCatch, explains how their technology helps Alchemy’s clients detect high-risk account takeover events using behavioral biometrics.
This approach is effective because it thwarts fraudsters who can mimic traditional bank controls but struggle to replicate user behavior profiles.
The risks for financial institutions are significant, impacting their reputation, trustworthiness, and resulting in substantial costs and disruption.
BioCatch offers a solution that combines machine learning, behavioral biometrics, and device/network risk indicators, providing a comprehensive view of online session activity.
One prominent threat BioCatch addresses is bank impersonation scams, where attackers use stolen personal information to pose as bank representatives and withdraw funds.
BioCatch’s approach differs by monitoring the entire online journey, collecting extensive data points for better abuse detection.
They use a machine learning risk scoring model based on collective client experiences.
In the evolving fraud prevention landscape, real-time controls become essential, especially as social engineering scams are likely to increase.
Sophistication of Account Takeover Fraud:
Account takeover fraud is evolving and becoming more sophisticated, involving techniques like social engineering, bank impersonation, malware, and more.
BioCatch’s Role:
Seth Rudin, the Director of Global Advisory at BioCatch, explains how BioCatch helps detect high-risk account takeover events using behavioral biometrics, which is effective in countering fraudsters.
Impact on Financial Institutions:
Account takeover fraud can significantly harm a financial institution’s reputation, trustworthiness, and result in substantial costs and disruptions across the enterprise.
BioCatch’s Unique Approach:
BioCatch’s approach involves monitoring the entire online journey, collecting extensive data points, and using a machine learning risk scoring model based on collective client experiences for robust fraud detection.
Real-Time Controls and Preparedness:
In the evolving fraud prevention landscape, real-time controls are crucial, and financial institutions must be prepared to defend against threats like social engineering scams, which are likely to increase.
These takeaways highlight the growing threat of account takeover fraud, the effectiveness of BioCatch’s solution, and the importance of proactive measures for financial institutions.
This blog is not sponsored or endorsed by any mentioned company. I found an interesting video and summarized it for you, your welcome!
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