OSINT and AI: A Powerful Combination for Company Vulnerability Detection

Cybersecurity caused major concerns for organizations that protect critical data from cyber-attacks. Vulnerability scanning is a critical step as part of the proactive approach, as it allows the identification of potential vulnerabilities in the infrastructure before malicious attackers exploit them. This paper outlines the development of a tool for open-source intelligence (OSINT) designed to collect information from openly accessible sources efficiently. The collected information will then be formatted and sorted with clustering algorithms. Machine learning will be employed to detect potential vulnerabilities in the collected data. The vulnerability results can be presented in a report to the organizations to ease the concern. The aim is to increase awareness of how the OSINT could detect vulnerabilities and improve cybersecurity postures. This study aims to contribute to the existing knowledge base on vulnerability detection, OSINT applications in IT security, and combining new IT security detection solutions like machine learning.