Port Guard AI-Smart Vulnerability & Threat Scanner Using Artificial Intelligence

Abstract

In modern digital infrastructures, enterprises and cloud-based networks significantly depend on secure communication channels. However, misconfigured ports, exposed services, and unpatched vulnerabilities continue to serve as primary attack vectors for adversaries. Traditional vulnerability scanners such as Nmap, Nessus, and OpenVAS provide efficient port-level detection but struggle with false positives, manual analysis overhead, and limited intelligence for predicting unknown threats. This paper introduces Port Guard AI, a smart vulnerability and threat scanning system that integrates automated port scanning, AI-driven threat classification, and risk prioritization. The system detects open ports within specified ranges, evaluates associated risk levels, and classifies threats using machine learning models. The platform provides a web-based dashboard for real-time visualization, automated reporting, and proactive threat mitigation. Experimental results demonstrate improved scan accuracy, reduced false positives, and faster decision-making, making Port Guard AI suitable for enterprises, cloud infrastructures, and network security environments.