CYBER SECURITY RISK ASSESSMENT USING AI

Abstract

In today’s increasingly connected world, cyber threats are growing more advanced and frequent, presenting serious challenges to both organizations and individuals. Conventional cyber security risk assessment methods often fall short in addressing the fast-evolving nature of these threats. This project introduces an AI-powered framework for cyber security risk assessment that utilizes machine learning and data analytics to detect, predict, and evaluate potential vulnerabilities in real time. By processing historical cyber-attack data, system activity logs, user behavior, and network traffic patterns, the system can identify anomalies, assess risks, and recommend effective preventive measures. The incorporation of AI not only improves the precision and speed of threat detection but also enables continuous learning, ensuring adaptability to emerging attack vectors. This intelligent solution is designed to empower security professionals with actionable insights, enhance decision-making, and strengthen the overall security posture of digital systems.