Exploring Security Challenges in Generative AI for Web Engineering

Web engineering is being transformed rapidly by Artificial Intelligence (AI), particularly by Generative AI (GenAI), through its potential for automation in content creation, source code generation, design creation, and optimization. Along with the tremendous benefits that the integration of GenAI and Web Engineering offers, significant security concerns arise related to secure deployment and data privacy. This chapter explores the importance and growing adoption of GenAI tools and techniques in web development, emphasizing the security considerations, such as potential vulnerabilities, including model manipulation, adversarial attacks, and data leakage. A thorough review of the existing studies reveals the primary security threats and attacks, including the recommended countermeasures. Moreover, the ethical implications of GenAI for web engineering have also been investigated. By highlighting the security and privacy concerns, this study shall benefit the researchers, developers, and organizations in adapting careful steps for GenAI utilization for web engineering process, taking into account the issues and challenges related to the user trust, privacy, security, and data integrity.