MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077189 A) filed by Sns College Of Technology on June 23, 2026, for Ai-Powered Fraud Detection System.
Inventors include Mrs. B. Sajitha; Sree Varsha Sj; Divya Shree M; Dr. M. Siva Ramkumar; and Dr. Husna Khouser G.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to an AI-powered fraud detection system designed to identify and prevent fraudulent activities in financial transactions using machine learning and intelligent data analysis techniques. The system integrates advanced algorithms capable of analyzing large volumes of transactional data to detect suspicious patterns, anomalies, and potentially fraudulent behavior in real time.The proposed system incorporates data preprocessing modules, anomaly detection models, behavioral analysis techniques, and automated risk scoring mechanisms to evaluate transaction legitimacy. By analyzing parameters such as transaction amount, frequency, geolocation, device information, and user behavioral patterns, the system can accurately identify unusual activities that may indicate fraud. The platform provides an interactive monitoring interface and analytical dashboards that enable administrators and financial institutions to track suspicious transactions, review fraud alerts, and analyze fraud trends. It also supports real-time integration with banking systems and payment gateways through secure APIs to enable immediate detection and response to fraudulent activities.Additionally, the system includes automated alert generation, transaction risk assessment, and secure data storage mechanisms to support auditing, compliance, and continuous model improvement. By combining artificial intelligence, real-time monitoring, and analytical visualization, the invention enhances financial security, reduces fraud-related losses, and improves the efficiency of fraud detection systems across digital-financial- platforms.
Disclaimer: Curated by HT Syndication.
