LLM Workflow Generation From Natural Language for Security Playbooks
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Solution Overview
Problem
Automated workflows in computing environments, particularly in cybersecurity settings, require programming skills for definition and can be complex and resource-intensive, leading to inefficiencies and errors.
Innovation Solution
Utilizing large language models (LLMs) to generate workflow definitions from natural language descriptions, enabling users without programming skills to create accurate and efficient workflows through structured plan generation and pseudocode representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If workflow definitions are written in programming language, then precision and control are improved, but ease of operation deteriorates
Solution Approach 1:
The patent introduces an intermediary system that translates natural language descriptions into workflow definition language. This intermediary acts as a bridge between users who lack programming skills and the precise workflow definition language, automatically converting casual language into structured workflow definitions without requiring users to learn programming.
Solution Approach 2:
The patent replaces the mechanical system of manual programming with an automated translation system. Instead of users manually writing workflow definition language, the system automatically generates precise workflow definitions from natural language inputs, substituting human cognitive effort with automated processing.
2Ease of operation
If GUI-based tools are used for constructing workflows, then ease of operation is improved, but productivity deteriorates
Solution Approach 1:
The patent replaces the manual drag-and-drop GUI interaction with automated text processing. The system processes natural language descriptions and automatically generates complete workflow definitions, eliminating the time-consuming manual assembly process while maintaining ease of use through natural language input.
Solution Approach 2:
The system enables users to create workflows through simple text descriptions without requiring interaction with complex GUI elements. The automated translation system handles the entire workflow creation process, allowing users to service themselves by simply describing what they need rather than learning and using complex tools.
3Ease of operation
If manual workflow construction is performed, then ease of operation is improved, but loss of time increases
Solution Approach 1:
The patent substitutes manual workflow construction with automated text-to-workflow translation. The system processes natural language descriptions and instantly generates workflow definitions, reducing the time required from minutes or hours of manual assembly to seconds of automated processing while maintaining accessibility for non-programmers.
Data Source
AI summary
A computer-implemented method generates workflow definitions in workflow definition language using one or more large language models, LLMs. The method includes receiving a natural language description of an automated workflow and generating a plan generation prompt including the natural language description and plan generation instructions. The plan generation prompt is input to one of the LLMs and in response a structured plan comprising a plurality of actions are received. For each action, a corresponding segment of workflow definition language is generated to provide a plurality of segments of workflow definition language. The segments are combined to form a workflow definition corresponding to the natural language description.