Machine Learning-Based Vulnerability Detection in AI-Generated Source Code: A Systematic Literature Review and Research Directions
The rapid adoption of Generative AI and Large Language Models (LLMs) has transformed software development, but AI-generated code may contain security vulnerabilities such as injection flaws, weak authentication, and unsafe API usage. Traditional rule-based and static-analysis techniques struggle with semantically diver...