Natural Language Processing for Documentation Analysis to Identify Outdated Security Practices
Sandeep Phanireddy · International Journal For Multidisciplinary Research · 2022
NLP technology is fundamental to the examination of source code comments, construction files, and documentation in order to update obsolete security measures. NLP can be utilized to report and mark security practices deemed obsolete through NER, sentiment analysis, and contextual embeddings. Constructed security documentation include outdated configurations and suggestions which pose a risk to the organization’s security if they are not routinely refreshed. This paper discusses the application of NLP in the analysis of cybersecurity documentation, provides applicable examples, and analyzes the research questions and prospects in this area.