MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017991 A) filed by Mrs. Kavya H V; Nikhil Gowda N; Vanishree K; Chethan Kumar G M; and Lavanya C M, Mandya, Karnataka, on Feb. 18, for 'ai application system to detect real-time fraud detection in digital transactions.'
Inventor(s) include Mrs. Kavya H V; Nikhil Gowda N; Vanishree K; Chethan Kumar G M; and Lavanya C M.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI application system for detecting fraudulent digital transactions in real time. The system integrates multi-source transaction data, behavioral biometrics, and contextual metadata into a unified artificial intelligence architecture. A preprocessing engine structures transaction data, which is analyzed by an AI decision engine comprising supervised learning models, anomaly detection algorithms, and behavioral biometrics analysis. A real-time risk scoring module computes a fraud probability index within milliseconds of transaction initiation. Based on adaptive thresholds, a response module performs automated actions including approval, step-up authentication, hold, or rejection of transactions. A reinforcement learning feedback mechanism continuously refines model performance using verified outcomes, while an explainable AI interface ensures transparency and regulatory compliance. The invention provides scalable, low-latency, adaptive, and accurate fraud detection suitable for banking, e-commerce, mobile payments, and digital financial ecosystems."
Disclaimer: Curated by HT Syndication.
