Dynamic Network Application Analysis for Failure Remediation
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Solution Overview
Problem
Conventional systems lack the ability to provide proactive resiliency, redundancy, and security remediation across a network based on dynamic analysis of technology applications, leading to undesirable failed processes and delayed processing due to shifts in production environments and incompatible data transmissions.
Innovation Solution
A system that dynamically processes network activity data to identify network redundancy and vulnerabilities, triggering remediation actions before failures occur, utilizing a control system with processing devices, memory devices, and communication devices to capture and analyze data flows, determine network ownership components, and execute remediation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems process data using static architectures without dynamic analysis, then system simplicity is maintained, but network resiliency and security deteriorate due to inability to adapt to production environment changes
Solution Approach 1:
The system implements dynamic analysis of technology applications by continuously monitoring data flows, network traffic, and application behaviors in real-time. The architecture transitions from static to dynamic configuration, allowing the system to adapt to production environment changes automatically through runtime analysis and adaptive remediation actions
Solution Approach 2:
The system performs proactive identification of network redundancy and security vulnerabilities before failures occur. By analyzing data flows and determining network ownership components in advance, the system can trigger remediation actions prior to actual failures, preventing rather than reacting to issues
2Productivity
If systems utilize prior source data without real-time analysis, then data processing speed is maintained, but application compatibility and resiliency deteriorate due to data shifts in production environments
Solution Approach 1:
The system continuously captures and analyzes data flows from technology applications, using this feedback to dynamically adjust its understanding of network ownership components and data flow characteristics. This real-time feedback loop ensures data remains current and compatible with evolving application requirements while maintaining processing efficiency
Solution Approach 2:
The system automatically analyzes its own data flows and network components without requiring external intervention. By self-monitoring and self-updating its knowledge base of network ownership and data flow characteristics, the system maintains current data automatically, ensuring compatibility without manual updates
3Reliability
If systems lack dynamic data processing capabilities, then system simplicity is preserved, but failure prediction and remediation capabilities deteriorate
Solution Approach 1:
The system determines network ownership components and analyzes data flow characteristics in advance to predict potential failures. By proactively identifying vulnerabilities and assessing network redundancy before failures occur, the system can trigger remediation actions preemptively, improving reliability through advance preparation
Solution Approach 2:
The system introduces an intermediary analysis layer between data capture and processing decisions. This intermediary layer analyzes data flows, determines network ownership, and assesses redundancy without requiring complete system redesign, managing complexity through modular intermediate processing
4Productivity
If conventional systems do not implement proactive remediation, then system operation simplicity is maintained, but processing continuity deteriorates due to failed processes and delays
Solution Approach 1:
The system triggers remediation actions before failures occur by proactively identifying network vulnerabilities and assessing data flow risks. This preliminary remediation approach prevents process failures and delays, ensuring continuous processing without requiring complex post-failure recovery mechanisms
Solution Approach 2:
The system automatically monitors its own operation, identifies potential failures, and triggers remediation actions without external intervention. This self-service capability maintains processing continuity while managing complexity through automated self-management rather than manual intervention systems
Data Source
AI summary
Embodiments of the invention are directed to systems, methods, and computer program products for proactive resiliency, redundancy and security remediation across a network based on dynamic analysis of technology applications. The invention involves determining whether an entity communication network comprises a redundant technology application associated with a technology application such that the redundant technology application renders a processing activity of the first technology application resilient. Here, the invention involves constructing network vulnerability components associated with a first data flow comprising an open vulnerability component, an unauthorized technology component, and an open security component. The invention may determine a prognostic failure associated with the first data flow based on determining that the entity communication network does not comprise at least one first redundant technology application associated with the first technology application.