AI-Powered Real-Time Fraud Pattern Detection: Identifying New Attack Methods
A major Brazilian bank faced the continuous challenge of evolving fraud attempts, where criminals were developing and sharing new methods of CPF (Brazilian Tax ID) testing and exploitation in real-time through messaging groups. Traditional detection methods were too slow to catch these emerging threats in their early stages. The Solution ZenoX deployed its advanced Vydar platform powered by TellyuAI, delivering three core capabilities: Real-time monitoring and analysis of group discussions Natural language understanding of fraudster terminology Automated pattern recognition of emerging fraud methods Breakthrough Results The implementation showed immediate impact through: Detection of new fraud methodology within