This invention describes a way to ensure software containers are safe before deployment. It works by examining a container's configuration to identify its foundational software image, then retrieves associated script data from potential hosting environments. This script data is then analyzed for security risks by searching for a specific text string, which helps in selecting the most secure hosting environment.
Why it matters: Filed before the widespread adoption and capability of advanced AI for code analysis. The 'text based processing' for 'evaluation of security risk' described in the claims could now leverage sophisticated machine learning and large language models to identify vulnerabilities far more effectively than simple string matching, making the core method significantly more powerful.
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