Financial Improvements to Fraud Detection inRobotics Process Automation (RPA) 2.0

Abstract—Financial fraud detection is becoming more advanced with the emergence of Robotics Process Automation (RPA) 2.0. RPA 2.0 is merging artificial artificial intelligence (AI), machine learning (ML), and sophisticated data analytics into fraud detection systems, where real-time tracking, anomaly detection, and predictive risk estimation. Here, it describes how financial institutions are able to utilize RPA 2.0 to automate fraud detection processes, reducing manual intervention with improved precision and speed. AI-controlled automation identifying suspicious transactions faster, reducing false positives, and making regulation compliance easier. RPA 2.0 also makes it easier to investigate fraud using real-time intelligence and actionable insights. With increasingly complex financial frauds, the integration of RPA 2.0 with current security systems enhances the risk management capabilities and reduces potential losses. Based on this study, the economic advantages of RPA 2.0 in fraud detection such as cost savings, operational efficiency, and improved cybersecurity are suggested. The results indicate that the application of intelligent automation in fraud prevention can significantly boost fraud detection capacities and efficiently utilizing resources in the financial sector. abilities while efficiently employing resources within financial institutions. .