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ASIST: Automated Strategic Partners Ranking and Recommendation System Using NLP and Security Intelligence

Strategic and Technological environment is changing rapidly in cyberspace. A robust cybersecurity ecosystem is driven by identifying an ideal corporate partnership. Performing research and analysis on a potential cybersecurity partnering company involves manual and labor-intensive processes without a standardized evaluation framework. Adding on, the task of performing security evaluation on the company's products is often overlooked and neglected in the research and analysis process. The proposed solution - ASIST - fills this gap in the overall comprehensiveness of the analysis made on a company. Firstly, the News Crawler Module was developed to automatically extract relevant cybersecurity news which is then passed to the Natural Language Processing Module to perform analysis and Strategy Roadmap Score tabulation. Concurrently, the Common Vulnerability Scoring System (CVSS) Crawler Module extracts the product security information of the company and performs tabulation of the Product Security Score. At the final stage of program runtime, the companies are ranked by the Reporting Module, utilizing the two scores that were tabulated by the prior modules. The Strategy roadmap score and Product Security score evaluated by ASIST are on an average within 5% of the manually evaluated scores from professional industry analysts.