AI Network Security Tool With Database Hooks for Rapid Analysis
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Solution Overview
Problem
Current network security systems rely on extensive data collection and manual analysis by human operators, leading to inefficiencies, delayed responses, and the need for costly, domain-specific solutions that are not scalable.
Innovation Solution
A system agnostic network security tool utilizing artificial intelligence and machine learning to autonomously process and analyze data, providing real-time insights and responses, with a self-healing module to implement corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis by human operators is used, then decision-making accuracy is maintained, but response time increases and productivity decreases
Solution Approach 1:
The patent introduces an AI intermediary layer that sits between security data sources and human operators. This AI intermediary automatically processes and analyzes security data, generating preliminary findings and insights that are then presented to human operators for final decision-making. This intermediary handles the time-consuming manual analysis while preserving human judgment for critical decisions, thus improving response speed without sacrificing accuracy.
Solution Approach 2:
The patent replaces the mechanical process of manual human analysis with an automated AI-based analysis system. The AI system uses machine learning models and natural language processing to automatically interpret security data, identify threats, and generate actionable insights. This substitution eliminates the time delay inherent in manual analysis while maintaining high accuracy through advanced algorithms, directly addressing the contradiction between response speed and decision-making accuracy.
2Reliability
If domain-specific security systems are implemented, then security effectiveness for specific systems is improved, but device complexity and implementation cost increase
Solution Approach 1:
The patent creates a universal security analysis platform that can handle multiple domain-specific security systems through a single AI engine. The system uses natural language processing and semantic understanding to interpret security data from various sources (network security, application security, cloud security, etc.) without requiring separate customized systems for each domain. This universal approach maintains security effectiveness across different domains while significantly reducing system complexity and implementation costs.
Solution Approach 2:
The patent employs parameter-based configuration instead of structural customization. The AI system maintains a core set of security analysis capabilities that can be adapted to different domains by changing parameters such as data sources, analysis rules, and output formats, rather than requiring different system architectures for each domain. This allows the system to maintain high security effectiveness across domains while keeping the underlying system simple and reusable.
3Loss of information
If extensive data collection is performed, then analysis completeness is improved, but information processing time and resource consumption increase
Solution Approach 1:
The patent extracts and prioritizes only the most relevant security information from large volumes of collected data using AI-based filtering and ranking. The system identifies key security events and indicators of compromise, extracting critical information while discarding or de-prioritizing noise and less relevant data. This extraction approach ensures that analysis completeness is maintained for critical threats while significantly reducing the time and resources needed to process the full dataset.
Solution Approach 2:
The patent implements a tiered analysis approach where the AI system performs comprehensive analysis on high-priority security data while applying lighter analysis to lower-priority data. The system dynamically adjusts the depth of analysis based on data priority, threat level, and contextual importance, ensuring that critical security information receives full analytical attention while less critical data is processed more efficiently. This partial action strategy maintains analysis completeness for important information while reducing overall processing time.
Data Source
AI summary
A network security tool having Artificial Intelligence capabilities is provided. The network security tool can be implemented on a computing system including a processor and memory and can function to receive question(s) from a user and provide one or more response(s) to the question(s) based on processing by Artificial Intelligence. The network security tool can be system agnostic and can access data from both local system resources, and remote resources to provide the one or more response(s).