Vulnerability mapping and mitigation through AI code analysis and testing

The research addresses the significant and complex challenge of vulnerability mapping and repairing code vulnerabilities, which is critical for enhancing cybersecurity in our increasingly technology-driven society. This paper aims to present an in-depth methodology and framework for effectively mapping software vulnerabilities through AI-driven code analysis and testing techniques. The proposed method and framework provide an automated environment that facilitates identifying and mitigating security vulnerabilities. This innovative framework benefits prosumers and developers, empowering them to confidently produce secure code, even with inadequate cybersecurity knowledge or extensive testing experience. By leveraging AI, the methodology streamlines the process of vulnerability detection and enhances overall software security.