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This invention describes a software tool designed to streamline security rule management. It works by using natural language processing to understand the text of existing security rules. The tool then compares pairs of rules to determine how similar they are, and if they are too alike, it removes one of the duplicates to create a more efficient and cleaner set of rules. This refined set is then deployed to help identify security incidents. The claims specifically detail this as a method executed by an "advanced rule analyzer" within a data processing system.
Why it matters: In 2019, advanced natural language processing for complex rule analysis was challenging. Today, the significant advancements in Large Language Models (LLMs) since 2019 offer far more robust and accurate semantic understanding and generation capabilities, making the core functions of similarity measurement and potential rule generation much more feasible and effective.
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