Common Vulnerability

Common vulnerabilities in software and AI systems are a major focus of current research, aiming to improve automated detection, assessment, and mitigation. Studies employ machine learning, particularly deep learning and convolutional neural networks, along with natural language processing techniques, to analyze vulnerability descriptions and code, predict severity scores (like CVSS), and even automatically generate patches. This work is crucial for enhancing software security, accelerating vulnerability response times, and improving the overall trustworthiness of AI-powered systems.