AI-driven anomaly detection in forex transactions helps identify suspicious activities, fraud, and irregular trading patterns in real-time. Using machine learning algorithms, AI analyzes vast amounts of forex transaction data to detect unusual price movements, abnormal trade volumes, and sudden market fluctuations that deviate from normal patterns. By recognizing anomalies, AI can flag potential fraudulent activities, insider trading, or technical errors before they cause significant market disruption. AI also utilizes predictive analytics to anticipate potential risks, helping traders and regulators take proactive measures. Natural Language Processing (NLP) enables AI to monitor news, social media, and financial reports to detect market-moving events or misinformation that could trigger unexpected price shifts. Financial institutions and regulatory bodies are increasingly adopting AI-powered surveillance systems to maintain market integrity. However, human oversight remains essential to validate AI-generated alerts and prevent false positives. The combination of AI-driven anomaly detection and expert intervention ensures a more secure, transparent, and efficient forex trading environment while minimizing financial risks.