MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202631091176 A) filed by Siddharth Pani on July 27, 2026, for A Deep Learning-Based Cybersecurity Threat Detection System For Enterprise Software Applications.
Inventor includes Siddharth Pani.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: A DEEP LEARNING-BASED CYBERSECURITY THREAT DETECTION SYSTEM FOR ENTERPRISE SOFTWARE APPLICATIONS ABSTRACT The present invention discloses a deep learning-based cybersecurity threat detection system for enterprise software applications. The system collects security information from applications, databases, cloud platforms, networks, endpoints, and identity management systems before performing intelligent preprocessing and feature extraction. Multiple deep learning models analyze behavioral patterns to identify known and unknown cyber threats with high accuracy. Contextual threat intelligence and explainable artificial intelligence improve detection transparency while reducing false positives. Automated response mechanisms initiate mitigation actions including asset isolation, credential revocation, policy enforcement, and incident reporting. Continuous learning enables adaptation to evolving attack techniques without manual rule creation. The invention provides scalable, real-time, intelligent cybersecurity protection that strengthens enterprise resilience, operational efficiency, regulatory compliance, and proactive defense against sophisticated cyber threats.
Disclaimer: Curated by HT Syndication.
