Intellectual Property India Publishes Patent Application for Ai Based Adaptive Cyber Threat Detection And Response System

MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641091859 A) filed by Dr. N. G. P. Institute Of Technology on July 29, 2026, for Ai Based Adaptive Cyber Threat Detection And Response System.

Inventors include Ms. K. Kavitha; Ms. R. Dhivya; Ms. N. Sowmiya; Ms. Suganya S; Dr. T. Rajkumar; Ms. M. Lavanya; and Ms. R. Rathiya.

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

Abstract: An AI based adaptive cyber threat detection and response system (100) comprising a data acquisition module (102), a traffic monitoring engine (104), a log analysis module (106), an anomaly detection engine (108), a threat intelligence integration unit (110), a machine learning prediction engine (112), and a correlation and risk assessment module (114). The data acquisition module (102) collects network packets, system logs, endpoint telemetry, and security events from connected digital infrastructure for centralized analysis. The traffic monitoring engine (104) performs real-time inspection of network communications to identify suspicious traffic patterns and protocol anomalies. The log analysis module (106) parses, normalizes, and analyzes security logs generated by servers, applications, cloud platforms, and endpoint devices. The anomaly detection engine (108) identifies deviations from established behavioral baselines using statistical analysis and artificial intelligence techniques. The threat intelligence integration unit (110) receives external threat intelligence feeds and enriches detected events with known indicators of compromise. The machine learning prediction engine (112) classifies potential cyber threats and predicts attack likelihood based on historical and real-time security data. The correlation and risk assessment module (114) correlates multiple security events across different sources and assigns risk scores according to threat severity and impact. The invention enhances real-time cyber threat detection accuracy and accelerates automated incident response across enterprise and cloud environments. The invention facilitates adaptive learning, reduced false positives, improved threat correlation, and stronger cybersecurity resilience against evolving attack techniques.

Disclaimer: Curated by HT Syndication.