AI Driven Vulnerability Analysis Systems

AI Driven Vulnerability Analysis Systems

1Abhishek A. Tondarkar, 2Shraddha R. Kondhalkar, 3Abhishek R. Macharekar, 4 Pranav R. Shinde,

Mrs. Anjali A. Yadav5

1,2,3,4 Sinhgad Institute of Technology & Science, Pune,

5Guide: Sinhgad Institute of Technology & Science, Pune,

Abstract— With the increasing frequency and sophistication of cyber threats, the need for intelligent and adaptive security solutions has become more critical than ever. Artificial Intelligence (AI) is playing a transformative role in cybersecurity by enhancing the detection of system vulnerabilities, anticipating potential threats, and enabling automated incident response. This research   introduces VulneraX, an AI-driven vulnerability analysis system built using the Flask framework. The system is trained on data from the National Vulnerability Database (NVD) covering the years 2020 to 2023. VulneraX offers real-time vulnerability assessment, assigns severity scores, and provides clear remediation guidance. These insights are delivered through an intuitive user interface featuring advanced data visualizations. The paper also examines future development paths, ethical concerns, and the regulatory landscape surrounding the deployment of AI in cybersecurity.