Leveraging Large Language Models for Trustworthiness Assessment of Web Applications

Researchers have developed a method to use Large Language Models (LLMs) to assess the trustworthiness of web applications by evaluating adherence to secure coding practices. This approach automates the identification and verification process, which is currently manual and time-consuming, offering a scalable solution for ensuring web application security. The study shows that rule-based instructional prompting enhances the reliability of LLMs in this context, paving the way for more automated and effective trustworthiness assessments in web development.

Read the full article at arXiv cs.CR (Cryptography & Security)

---

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.