WebGuardian: Holistic Approach to Address Dynamic Web Application Threat Landscape

Abstract

Web applications have become an integral part of our daily lives, transforming various industries, and enabling smooth online interactions. The increasing number of web applications has also led to significant security challenges. People with malicious intent continuously exploit weaknesses in these web applications, posing a risk to the confidentiality, integrity, and availability of web applications. The primary objective of this research is to develop a comprehensive system that automates the identification and mitigation of vulnerabilities, prevention of threats, assessment of risks, and management of user access in web applications. This system uses advanced technologies like machine learning, runtime application self-protection (RASP), and risk calculation algorithms to take a well-rounded approach to web application security. This research project presents a comprehensive system that automates web application security, addressing the challenges posed by evolving threats. By utilizing advanced technologies and combining various security elements, the system offers a strong and effective solution to improve the security of web applications. This ensures their ability to withstand and maintain their integrity in today's interconnected digital world.