Resiliency Control System for Technology Resources
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Solution Overview
Problem
Current systems lack an efficient method to assess and enhance the resilience of technology resources against compromise vectors, such as denial of service attempts, unauthorized access, and data modification, which can impact authorization, authentication, integrity, and availability.
Innovation Solution
A system that uses artificial intelligence-based design patterns for resiliency controls, automatically detects compromise vectors, and recommends additional controls based on projected resiliency scores, enabling effective protection and mitigation of impacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security assessment methods are used, then comprehensive security analysis can be performed, but the process is time-consuming and lacks automation
Solution Approach 1:
The patent replaces manual security assessment processes with an automated system that uses machine learning models and algorithms to analyze technology resources, identify compromise vectors, and evaluate resiliency controls, thereby eliminating time-consuming manual analysis while maintaining or improving assessment accuracy
Solution Approach 2:
The system enables self-service security assessment by automatically detecting compromise vectors, evaluating existing resiliency controls, generating resiliency scores, and providing recommendations without requiring manual security expert intervention for each assessment
2Adaptability or versatility
If manual resiliency control implementation is used, then controls can be customized, but the process lacks efficiency and speed
Solution Approach 1:
The patent implements dynamic resiliency control selection where the system automatically determines which controls to implement based on real-time assessment of compromise vectors, resource characteristics, and risk priorities, allowing both customization and rapid deployment through automated decision-making
Solution Approach 2:
The system performs preliminary analysis by pre-identifying potential compromise vectors and pre-evaluating appropriate resiliency controls before actual security incidents occur, enabling rapid response and implementation when needed without time-consuming analysis during critical events
3Reliability
If comprehensive resiliency controls are implemented, then security protection is enhanced, but system complexity increases
Solution Approach 1:
The patent applies local quality by implementing resiliency controls selectively based on specific compromise vectors and resource vulnerabilities identified through automated assessment, rather than applying uniform comprehensive controls across all systems, thereby enhancing security where needed while minimizing unnecessary complexity
Solution Approach 2:
The system segments the security assessment and control implementation into distinct modular components including compromise vector identification, control evaluation, scoring mechanisms, and recommendation generation, making the complex system manageable and easier to implement through standardized modules
4Speed
If automated detection and response is implemented, then response speed is improved, but detection precision requirements increase
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors technology resources, detects compromise vectors, evaluates the effectiveness of implemented controls, and uses this information to refine detection algorithms and improve future detection accuracy, enabling both rapid response and high precision through iterative learning
Data Source
AI summary
A system provides for generation and implementation of resiliency controls for securing technology resources. In particular, the system may generate a model for securing technology resources based on compromise vectors that may affect the integrity or security of the resources, along with resiliency controls which may be used by the system to protect the resources. Based on the above information, the system may determine the impact that certain vectors may have on certain resources and assess the resistance of the resources to the impacts. In this way, the system may provide an efficient way to assess resiliency of resources and implement resiliency controls to protect such resources.