Network Security Framework for Alert Triage
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Solution Overview
Problem
Current cybersecurity systems face challenges in managing and responding to the high volume of security alerts, leading to false positives, redundant alerts, and delayed responses, which can result in missed critical alerts and increased security risks.
Innovation Solution
A network security framework that automates the verification and processing of security alerts by analyzing events methodically, separating them into parts, and studying their interrelations to determine true incidents, perform triage, and initiate corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual verification and processing of security alerts is performed, then accuracy of incident response can be improved, but the time required for forensic analysis increases
Solution Approach 1:
The patent divides the forensic analysis process into multiple independent analysis modules that can process different aspects of security alerts simultaneously. Each module focuses on specific verification tasks, enabling parallel processing that maintains accuracy while reducing total analysis time.
Solution Approach 2:
The system performs preliminary verification and classification of security alerts before full forensic analysis. By pre-processing alerts to identify obvious false positives and prioritize critical threats, the system reduces the time required for detailed analysis while maintaining response accuracy.
2Loss of time
If automated verification and processing of security alerts is implemented, then the time for forensic analysis is reduced, but the accuracy of incident response may deteriorate
Solution Approach 1:
The patent implements feedback mechanisms where automated analysis results are continuously refined based on verification outcomes. The system learns from false positives and false negatives, adjusting its automated verification process to improve accuracy over time while maintaining fast processing speeds.
Solution Approach 2:
The system introduces an intermediary verification layer that bridges automated and manual analysis. This intermediary module performs initial automated filtering and prioritization, then selectively routes alerts requiring human review, combining the speed of automation with the accuracy of manual analysis.
3Productivity
If multiple security analysis modules are deployed to process alerts, then the productivity of alert management is improved, but the device complexity increases
Solution Approach 1:
The patent designs analysis modules with universal interfaces and standardized processing protocols that allow them to be deployed independently yet work together seamlessly. Each module is self-contained and can be added or removed without affecting the core system, reducing operational complexity despite multiple components.
Solution Approach 2:
The system implements a hierarchical architecture where complex analysis modules contain simpler sub-modules. This nested structure allows the system to process alerts at multiple levels of detail, with higher-level modules coordinating lower-level analysis, thereby managing complexity through organized decomposition.
Data Source
AI summary
Method and device for managing security in a computer network include algorithms of iterative intelligence growth, iterative evolution, and evolution pathways; sub-algorithms of information type identifier, conspiracy detection, media scanner, privilege isolation analysis, user risk management and foreign entities management; and modules of security behavior, creativity, artificial threat, automated growth guidance, response/generic parser, security review module and monitoring interaction system. Applications include malware predictive tracking, clandestine machine intelligence retribution through covert operations in cyberspace, logically inferred zero-database a-priori realtime defense, critical infrastructure protection & retribution through cloud & tiered information security, and critical thinking memory & perception.


