DeVAIC is a tool that implements a set of regular expression-based detection rules to identify vulnerabilities in Python code generated by AI models, overcoming the limitations of existing static analysis tools.
Large Language Models can significantly outperform existing learning-based methods for automated vulnerability localization through appropriate fine-tuning, while prompting approaches prove less effective.