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Explore how generative AI can be leveraged to conduct red team exercises against fraud prevention systems in this 46-minute conference talk from DEF CON 33. Learn about the evolving landscape of fraud attacks as criminals increasingly utilize large language models to experiment with new attack variations and breach traditional defenses. Discover methodologies for using LLMs to systematically test the resilience and effectiveness of your organization's fraud detection systems. Understand how to simulate sophisticated fraudster behavior patterns and attack vectors that modern AI-enabled criminals might employ. Gain insights into proactive security testing approaches that can help identify vulnerabilities in fraud prevention mechanisms before malicious actors exploit them. Master techniques for staying ahead of the curve in fraud defense by adopting the same AI tools that fraudsters are using to enhance their attack capabilities.
