Cybersecurity Workflow Automation Using Natural Language DSL
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Solution Overview
Problem
Existing automation solutions for cybersecurity are often complex and require technical expertise, making them inaccessible to many security analysts, necessitating a more intuitive, flexible, and user-friendly automation system.
Innovation Solution
A hierarchical domain-specific language (DSL) system with multiple layers is employed to handle cybersecurity threats, allowing users to interact with natural language queries, parse them into structured data, and generate workflows through a Directed Acyclic Graph (DAG) representation, enabling non-coders to efficiently manage cybersecurity tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing automation solutions are implemented, then productivity is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The patent introduces a natural language processing intermediary layer that translates user-friendly queries into complex automation workflows. This mediator allows security analysts to interact with sophisticated automation systems using simple natural language, eliminating the need for technical expertise while maintaining high productivity through automated incident response and threat analysis workflows.
Solution Approach 2:
The automation system is segmented into modular components including natural language processing module, workflow generation module, and execution module. This segmentation allows the system to process complex tasks in manageable steps while presenting a simplified interface to users, resolving the contradiction between automation capability and ease of use.
2Productivity
If existing automation solutions are implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The natural language processing intermediary abstracts away the underlying system complexity, translating simple user queries into complex automated workflows without requiring users to understand the complexity. This maintains high productivity while shielding users from system complexity.
Solution Approach 2:
The system employs a universal natural language interface that can handle multiple types of security automation tasks (incident response, threat analysis, workflow management) through a single unified interface, reducing perceived complexity while maintaining comprehensive automation capabilities.
Data Source
AI summary
A system to handle cybersecurity threats is disclosed. The system may include a transceiver and a processor. The transceiver may be configured to receive a request from a user via a user interface rendered on a user device. The request may include a query associated with cyber security. The processor may be configured to render the user interface on the user device, and obtain the query from the transceiver. The processor may parse the query into structured data, and identify a sequence of templated actions based on the structured data and a security framework. The processor may map each templated action into one or more action blocks to perform the templated action, based on a user environment. The processor may prepare a workflow to resolve the query based on the sequence of templated actions and the action blocks for each templated action, and perform a predetermined action.