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@article{171636,
        author = {Abhishek A. Tondarkar and Shraddha R. Kondhalkar and Abhishek R. Macharekar and Pranav R. Shinde},
        title = {Ai Powered Cybersecurity System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {728-731},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171636},
        abstract = {The rising frequency and complexity of cyberattacks have made advanced security systems indispensable. AI-powered cybersecurity solutions have emerged as critical tools for detecting vulnerabilities, predicting threats, and responding dynamically to incidents. This paper explores an AI-powered vulnerability analysis system, VulneraX, developed using Flask and trained on the National Vulnerability Database (NVD) dataset from 2020 to 2023. Key features include real-time analysis, severity scoring, and actionable remediation steps, presented through a user-friendly interface with advanced visualization capabilities. We also discuss future improvements, ethical considerations, and regulatory challenges in adopting AI-driven security systems.},
        keywords = {},
        month = {January},
        }