MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641086977 A) filed by Kcg College Of Technology on July 16, 2026, for Apt-Next: An Autonomous, Context-Aware Penetration Testing And Attack Intelligence Platform.
Inventors include Hema K; Hemalatha J; Sanjana P; and Mr. Chris Joseph Levies N M.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: ABSTRACT The present invention relates to the field of cybersecurity. focusing on an intelligent and automated penetration testing system for web applications and APIs. With the rapid growth of interconnected digital systems, the risk of cyberattacks has increased significantly, making traditional vulnerability assessment methods less effective in identifying complex and context-based security issues. The proposed system, APT-NEXT (Autonomous Penetration Testing — Next Generation), introduces a smart and adaptive framework that automates the detection, analysis, and prioritization of vulnerabilities. Unlike conventional tools, it interacts dynamically with applications, analysing their behavior to uncover both known and hidden vulnerabilities, including logical flaws and multi-step attack paths. The system integrates machine learning and threat intelligence to improve risk evaluation and predict possible attack scenarios. It also generates clear and structured reports with mitigation recommendations, reducing manual effort and enhancing efficiency, accuracy, and scalability in modern cybersecurity testing. Furthermore, the system is designed to provide a comprehensive understanding of security risks by correlating multiple vulnerabilities and analyzing their interdependencies. This enables the identification of realistic attack chains rather than isolated issues, helping users better understand the potential impact of security weaknesses. The adaptive nature of the system allows it to continuously learn and improve its detection capabilities overtime. In addition, the platform supports continuous and automated security assessment, making it suitable for modern development environments where applications are frequently updated. Its scalable architecture allows it to handle multiple targets efficiently while maintaining consistent nil lllalI. 6 V , intelligence, and contextual analysis, ,Thfrorr n reliable and practical solution for strengthening overall cybersecurity posture
Disclaimer: Curated by HT Syndication.
