Introduction Fraud is one of the biggest threats facing banks today. From credit card scams to identity theft and money laundering, fraudsters are constantly innovating new ways to exploit vulnerabilities. According to industry reports, global financial institutions lose billions of dollars each year due to fraudulent activities. Traditional fraud detection systems rely heavily on rule-based approaches — predefined if-then conditions, manual checks, and reactive monitoring. While these methods can catch some suspicious activity, they are often too rigid, slow, and prone to false positives. This is where Artificial Intelligence (AI) comes in. AI-powered fraud detection systems leverage machine learning (ML) , deep learning , and predictive analytics to identify complex fraud patterns in real time. Unlike rule-based systems, AI adapts to new fraud techniques, reduces false alerts, and enhances banking security. In this blog post, we will explore: How AI is transforming f...