MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061180 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Intelligent Cybersecurity Threat Detection System Using Machine Learning.
Inventors include A. Gowthami; Aravindhan A; Ashickbasha N; Balakaniga B; Bharanidharan S; Daniel Dhivagar B; Deepak M; and Dharshika R T.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An intelligent cybersecurity threat detection system using machine learning enhances protection against evolving digital attacks. The system continuously monitors network traffic, system logs, and user activity for anomalies. Collected data is processed using machine learning algorithms to identify patterns indicative of malware, phishing, or intrusion attempts. Real-time threat classification enables prompt detection of suspicious activities. Alerts are automatically generated for security teams to take immediate action. Historical data is analyzed to improve model accuracy and predict emerging threats. The system supports anomaly-based and signature-based detection for comprehensive coverage. Secure cloud or local storage ensures integrity of security data and logs. Automated reporting assists in risk assessment and compliance management. Low-latency processing allows rapid response to potential attacks. Continuous learning adapts the system to new attack vectors over time. Scalable architecture supports deployment across large networks. This intelligent system provides a reliable, proactive, and adaptive solution for cybersecurity threat management
Disclaimer: Curated by HT Syndication.
