An Intelligent AI-Driven Vulnerability Management System for Automated Risk Assessment and Remediation

Abstract

The increasing complexity of modern enterprise IT environments, encompassing both cloud-based and on-premise systems, has made vulnerability management a critical challenge. Traditional approaches are often manual, reactive, and fragmented, leading to delays in detection and remediation. This paper presents an AI-driven centralized vulnerability management system that automates vulnerability detection, intelligent risk prioritization, remediation orchestration, and continuous monitoring through a unified platform. The proposed system integrates distributed scan engines, workflow automation, and an AI-based analytical module to enhance decision-making. Experimental evaluation demonstrates improved prioritization accuracy, reduced manual effort, and faster remediation cycles, thereby strengthening overall cybersecurity resilience.