Synopsis: Trustmi CEO Shai Gabay discusses how AI helps reduce risk through improving the security and resiliency of payment systems by constantly analyzing vast amounts of data to provide real-time risk and trust scores, identify discrepancies or anomalies, send alerts for potentially fraudulent activities, and more.

In this episode of Techstrong AI Leadership Insights, host Mike Vizard speaks with Shai Gabay, co-founder and CEO of Trustmi, about the escalating threat of deepfakes in the realm of B2B payments. Gabay explains how deepfakes, powered by AI, are set to exacerbate an already complex fraud landscape. While traditional fraud often involves simple techniques like fake purchase orders and stolen records, the emergence of deepfakes introduces a new level of sophistication, making it easier for cybercriminals to exploit outdated manual controls and communication channels such as emails and voice calls. Gabay emphasizes that the key to mitigating these risks lies in leveraging AI to enhance security measures, thereby shifting the advantage away from attackers.

The discussion delves into the intricate nature of B2B payment processes and the inherent vulnerabilities due to their reliance on manual validation and unsecured communication methods. Gabay highlights the need for organizations to adopt advanced technologies that can connect disparate systems and validate transactions comprehensively. He also addresses the role of AI in detecting fraud, suggesting that AI can outperform humans in identifying inconsistencies across vast datasets. Despite the challenges, Gabay remains optimistic about the potential of AI to transform security practices, urging companies to embrace these technologies to protect against both sophisticated and simple fraud attempts. The conversation concludes with a call for better tools and processes to support employees and reduce the likelihood of costly errors, advocating for a proactive approach to fraud prevention.