MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631019927 A) filed by Guru Nanak Institute Of Technology, Kolkata, West Bengal, on Feb. 20, for 'a machine learning and behavioral analytics-based cyber security threat prediction engine powered by artificial intelligence.'
Inventor(s) include Mr. Moloy Dhar; Ms. Pallabi Das; Mr. Koushik Pal; and Ujjal Bhattacharya.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A cyber security threat prediction engine integrates multi-source telemetry collection, preprocessing, behavioral profiling, learning-based anomaly detection, predictive threat classification and risk assessment to provide proactive identification and prioritization of potential security incidents. The engine continuously ingests network traffic, user activity logs, system and application event logs, normalizes the data, generates baseline behavior profiles for users, devices and applications, detects deviations from baseline using machine learning, correlates anomalies with historical incidents to predict potential attacks and assigns risk levels, and provides actionable alerts along with configurable automated response actions. An adaptive learning component updates profiles and models based on new data and feedback to improve detection accuracy and reduce false positives over time, and the engine supports scalable, flexible deployments for enterprise, cloud and distributed environments."
Disclaimer: Curated by HT Syndication.
