Design Implementation AI-Based Vulnerability Management is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Design Implementation AI-Based Vulnerability Management Project Details
| Abstract |
With the evolution of web applications and digital infrastructures, businesses increasingly face challenges in securing their information systems. Conventional vulnerability management systems struggle with large data volumes, ineffective risk prioritization, and poor actionable insights for remediation. This paper describes the framework and operationalization of an Artificial Intelligence (AI) powered Vulnerability Management Dashboard, designed to improve the effectiveness, efficiency, and ease of use of vulnerability management in enterprise environments. The system advances vulnerability assessment techniques, such as the Common Vulnerability Scoring System (CVSS), by integrating smart data analysis and context-sensitive prioritization. The dashboard provides an intuitive interface to support detailed tracking and visualization of vulnerability severity, AI-augmented searches, role-based access control,
and task assignments. The dashboard is designed utilizing the technologies React, Tailwind CSS, Flask and SQLAlchemy, creating a development environment that is scalable, secure, and modular for enhanced operations concerning the API.
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| Reference Paper |
Design and Implementation of an AI-Based Vulnerability Management Dashboard for Cybersecurity Operations |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Networks & Security / Cloud Computing |
| PDF Download |
Download / View PDF |
| Get Help |
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