AI Natural Language Playbook System for SIEM Data Analysis
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Solution Overview
Problem
Current enterprise information security architectures require cumbersome and time-intensive data analysis by IT security personnel, especially in large enterprises with insufficiently trained staff, due to the need for structured inputs in existing SIEM software platforms.
Innovation Solution
An artificial intelligence-assisted information technology data management system with natural language processing capabilities, allowing for text-based, voice-based, and visual-based inputs, which translates user queries into structured commands for SIEM software, and integrates with existing security and search engine platforms to streamline security analysis through machine learning and cloud-based APIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If structured search and command-line inputs are used in SIEM software platforms, then data analysis accuracy is improved, but ease of operation deteriorates and training requirements increase
Solution Approach 1:
The patent introduces natural language processing as an intermediary layer between the user and the SIEM software. Users can input queries in natural language (text or voice), and the system automatically translates these into the structured commands required by the underlying SIEM platform. This mediator eliminates the need for users to learn complex query languages while maintaining accurate data retrieval and analysis capabilities.
2Measurement precision
If multiple data and log sources are aggregated for comprehensive security analysis, then measurement precision is improved, but device complexity and time burden increase
Solution Approach 1:
The patent combines multiple data sources, log streams, and analysis functions into a unified natural language interface. Instead of requiring separate tools and procedures for different data sources, the system merges them all behind a single consistent interaction model where users can query any integrated data source using the same natural language syntax, thereby reducing operational complexity while maintaining comprehensive analysis capabilities.
3Measurement precision
If comprehensive data tracking and logging are implemented for traceability, then measurement precision is improved, but loss of time and processing burden increase
Solution Approach 1:
The system implements self-service capabilities where the AI assistant automatically performs data retrieval, analysis, and synthesis without requiring manual processing steps. When users submit natural language queries, the system autonomously navigates through the tracked and logged data, executes necessary analyses, and presents results, thereby maintaining comprehensive traceability while eliminating manual processing time burdens.
4Quantity of substance
If insufficiently trained IT security personnel are used, then labor cost is reduced, but productivity and analysis effectiveness deteriorate
Solution Approach 1:
The patent replaces the mechanical system of human expertise with an AI-based natural language processing system. Instead of requiring security personnel to have extensive training in complex query languages and analysis techniques, the system uses machine learning models to understand and execute security analysis tasks based on natural language inputs, thereby maintaining high productivity and effectiveness while reducing dependency on highly trained personnel.
Data Source
AI summary
The artificial intelligence-assisted information technology data management and natural language playbook system disclosed herein is designed to support current enterprise information technology security personnel by providing a faster and easier method for finding information or anomalies in current system data and logs. Enterprise security divisions often use multiple security information and event management (SIEM) software platforms to monitor their personnel data and logs, though even the use of such platforms requires advanced knowledge and skill on behalf of the user. The current system allows security users of all skill levels to interact using natural language processing with the system and effectively investigate such data and logs. The system assists such users by interacting with these SIEM platforms on their behalf and providing the users with access to pre-programmed natural language inquiry sequences, called “playbooks,” and easily customizable output displays. The software is entirely web-based, though can be integrated into current SIEM consoles for streamlined use.