Natural Language Interface for Cybersecurity Query Construction
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Solution Overview
Problem
Existing cybersecurity management systems are complex and difficult to navigate, requiring users to learn intricate technical commands, leading to a steep learning curve and potential for user errors.
Innovation Solution
A natural language interface (NLI) system that uses machine learning (ML) models to convert natural language requests into complex commands or queries for cybersecurity management systems, allowing users to interact with the systems using intuitive natural language phrases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional cybersecurity management systems are used with complex technical commands, then system functionality and security control capabilities are maintained, but user operation difficulty increases and learning curve steepens
Solution Approach 1:
The patent introduces a natural language processing interface as an intermediary layer between the user and the complex cybersecurity management system. This mediator translates simple natural language commands into the complex technical commands required by the system, allowing users to interact with sophisticated security controls without needing to learn intricate technical syntax or system architecture.
2Ease of operation
If natural language interface is implemented to simplify user interaction, then ease of operation improves and learning curve reduces, but system complexity and processing requirements increase
Solution Approach 1:
The patent replaces the mechanical interaction model (where users must manually construct complex technical commands following strict syntax rules) with an intelligent processing model using natural language understanding. The system uses machine learning models and natural language processing algorithms to automatically interpret user intent and generate appropriate technical commands, substituting computational intelligence for manual technical proficiency.
3Reliability
If complex technical commands are required for precise security control, then system reliability and security are maintained, but user errors increase due to complexity
Solution Approach 1:
The system performs self-service by automatically generating, validating, and executing the appropriate technical commands based on natural language user input. The natural language processing interface independently handles the complexity of command construction, parameter validation, and security policy application, freeing users from direct interaction with complex technical syntax while maintaining system reliability through automated error prevention.
Data Source
AI summary
In some embodiments, a processor receives, via an interface, natural language data associated with a user request for performing an identified computational task associated with a cybersecurity management system. The processor is configured to provide the natural language data as input to a machine learning (ML) model. The ML model is configured to automatically infer a template query based on the natural language data. The processor is further configured to cause the template query to be displayed, via the interface. The processor is further configured to receive, via the interface, user input indicating a finalized query associated with the identified computational task, and to provide the finalized query as input to a system configured to perform the identified computational task. The processor is further configured to modify a security setting in the cybersecurity management system based on the performance of the identified computational task.