AI-powered fraud analytics is transforming forex market surveillance by detecting and preventing fraudulent activities in real-time. By leveraging machine learning and big data analysis, AI can identify suspicious trading patterns, such as spoofing, layering, wash trading, and insider trading. These fraudulent tactics manipulate market prices and deceive traders, leading to unfair market conditions. AI-driven anomaly detection systems analyze vast amounts of trading data, flagging irregular activities like unusual trade volumes, rapid order cancellations, and coordinated trading behavior. Natural Language Processing (NLP) further enhances fraud detection by monitoring news, financial reports, and social media for misleading information or market manipulation signals. Financial institutions and regulators use AI-powered risk assessment tools to automate fraud detection, reducing manual efforts and improving response times. Predictive analytics helps anticipate future fraud risks, allowing preemptive action. While AI significantly enhances fraud detection efficiency, human oversight is essential to verify flagged activities and minimize false positives. Integrating AI-driven fraud analytics into forex markets ensures greater transparency, security, and fairness for all traders.