Intellectual Property India Publishes Patent Application for System And Method For Configuration-Driven Hybrid Machine Learning-Based Zero-Day Threat And Anomaly Detection

MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089405 A) filed by Vellore Institute Of Technology on July 22, 2026, for System And Method For Configuration-Driven Hybrid Machine Learning-Based Zero-Day Threat And Anomaly Detection.

Inventors include Dr. Dega Nagaraju; Ananya Shah; and Saanya Varshney.

The application for the patent was published on July 31, 2026, under issue no. 31/2026.

Abstract: ABSTRACT The present invention discloses a non-intrusive, configuration-driven hybrid machine learning framework for real-time detection of zero-day attacks, cyber threats, fraudulent transactions, and anomalous activities. The framework comprises a hybrid detection engine integrating supervised ...