Risk Assessment Processor for Distributed Network Risk Management
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Solution Overview
Problem
Large and distributed organizational networks face challenges in identifying and monitoring risks due to the unfeasibility of manual assessment and analysis, leading to outdated and incomplete risk data, which can result in inaccurate risk profiles and inadequate risk mitigation.
Innovation Solution
A system and method for analyzing risk data across multiple organizational networks, utilizing a risk assessment processor and non-volatile storage to monitor and store risk data, providing a remotely accessible platform for administrators to associate organizational groups and share sector-specific risk data, while ensuring confidentiality and identifying collective mitigation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual assessment and analysis of risks is performed, then risk data can be collected, but the process becomes unfeasible and unmanageable as organizations grow and become distributed
Solution Approach 1:
The patent segments the organizational network into multiple distributed locations and associates risk factors with specific areas and users. The risk management system is divided into components including a risk assessment processor, non-volatile storage memory, and a user interface, allowing each component to handle specific tasks independently. This segmentation makes the complex risk management process manageable by distributing the assessment workload across multiple organizational locations and system components.
2Loss of information
If comprehensive risk data is collected across distributed organizational networks, then risk identification improves, but manual tracking and assessment becomes unfeasible
Solution Approach 1:
The risk assessment processor automatically monitors and collects risk data from multiple organizational networks without requiring manual intervention. The system self-updates by continuously gathering risk factors, assessing risks, and maintaining the risk database. This automated self-service approach ensures comprehensive risk data collection while eliminating the manual tracking burden, allowing the system to handle large volumes of risk information efficiently.
3Reliability
If internal expertise and personnel are used for risk assessment, then organizational risk profiles can be maintained, but the assessment becomes outdated and incomplete due to lack of resources
Solution Approach 1:
The risk management system is designed to serve multiple organizational networks simultaneously through a centralized platform accessible by administrator devices at different locations. The risk assessment processor functions universally across various organizational networks, collecting and analyzing risk data from multiple sources. This multi-functional approach allows limited internal personnel to effectively manage risk assessments across the entire distributed organization without being overwhelmed by resource constraints.
4Adaptability or versatility
If risk data is shared across organizational groups, then collective risk mitigation can be achieved, but data security and confidentiality must be maintained
Solution Approach 1:
The risk assessment processor acts as an intermediary between different organizational groups, collecting risk data from various networks, processing and analyzing it centrally, then distributing relevant risk information to appropriate groups. The non-volatile storage memory serves as a secure intermediary repository that stores risk data with controlled access. This intermediary approach enables cooperative risk mitigation by allowing organizational groups to benefit from shared risk intelligence while maintaining data security through centralized control and managed data sharing protocols.
Data Source
AI summary
Risk data generation for an organizational network involves a risk assessment server that communicates with organizational computing devices. The server transmits risk data request and receives responses identifying organizational risks. The server generates and transmits assessment templates, and receives risk evaluation data from a plurality of computing devices in response. The server automatically generates a risk assessment score for an organizational risk based on the values in the plurality of risk evaluation responses, the risk assessment score defining an expected organizational impact of that particular organizational risk and transmits the risk assessment score to an administrator. The server collects benchmark risk data and risk outcomes from similar networks and generates the scores using the benchmark data. The server also provides comparative results between similar organizational networks.