Using AI in Testing, Development, and Production to Automate Fraud Prevention

In today's rapidly evolving digital landscape, preventing fraud and ensuring security of applications through development and production has become paramount. However, the traditional manual approaches to security testing, fraud detection and functional testing of apps once they have been protected is time-consuming, error-prone, and often fails to keep pace with emerging threats such as FaceID bypass using deepfakes. This session will explore the challenges and opportunities at the intersection of automating security testing, fraud detection and testing protected applications. Karen will discuss how to use AI to detect fraud and AI-driven attacks, prevent fraud and functionally test the app after protections have been added. She’ll use a case study to explain the comprehensive automation strategy that improved efficiency and prevented fraud, stopping AI-driven attacks on mobile apps. Attendees will gain insights into the following: the impact of using AI throughout development and production, understanding the interplay between security testing, fraud detection, prevention and testing protected apps is essential for achieving optimal results; practical strategies for automating fraud detection, prevention, and testing and learning about strategies and tools to build protected apps based on the fraud detected and security issues identified.