IGNIS: AI-Powered Personal Assistant for Vulnerability Management and Cybersecurity Analysis

Abstract

With the rapid growth of digital technologies and interconnected systems, cybersecurity has become a critical concern for organizations worldwide. Vulnerability management plays a significant role in identifying, assessing, and mitigating security risks within networks and applications. Traditional vulnerability management approaches often require specialized expertise and involve extensive manual analysis, making them time-consuming and resource-intensive. This research presents IGNIS, an Artificial Intelligence-powered Personal Assistant designed to enhance vulnerability management processes through intelligent automation and conversational interaction. The proposed system integrates Large Language Models (LLMs), vector databases, and vulnerability scanning tools to provide users with data-driven insights into network threats and security weaknesses. By leveraging AI technologies, IGNIS enables cybersecurity professionals and organizational administrators to efficiently analyze vulnerabilities, understand security risks, and receive remediation recommendations through a user-friendly chatbot interface.
The study investigates the selection of appropriate technologies, including programming languages, AI models, vector databases, development environments, and vulnerability scanning tools. The findings demonstrate that AI-powered assistants can significantly improve cybersecurity operations by simplifying vulnerability analysis and supporting informed decision-making.

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