Leveraging AI for Retail Security: Real-Time Detection and Prevention of Theft and Fraud

This paper explores how artificial intelligence is revolutionizing retail security by enabling real-time detection and prevention of theft and fraud. Through the integration of AI-powered video surveillance, behavioral analytics, and point-of-sale monitoring, retailers can proactively combat internal and external threats. The study highlights case examples from leading retail chains and discusses ethical considerations, privacy implications, and technological limitations. Future directions including IoT integration and explainable AI (XAI) are also addressed, showcasing AI's role in creating smarter, more secure retail environments.