Enhancing E-Commerce Fraud Detection Using AI-Driven Cybersecurity Systems

Abstract

E-commerce has grown a lot, and with that, fraud has too. Cybercriminals are getting smarter, and the usual tools we use to stop them aren’t enough anymore. This paper looks at how AI might help fix that. It goes into how AI—things like machine learning, deep learning, and natural language processing—is being used to catch odd behavior, spot risky transactions, and even guess what might go wrong before it does. The paper also looks at how these AI methods hold up against older approaches and points out where they actually work better. But it’s not all smooth. There are problems, like keeping user data private, understanding how AI makes choices, and dealing with fraud tactics that keep changing. The paper also shares a layered AI setup and some real examples from big e-commerce companies. In short, AI seems to be helping. These systems can react faster and adjust as new types of fraud show up. And with online shopping only getting bigger, tools like this are becoming kind of necessary.