Vulnerability Identification Engine for Application Security
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Solution Overview
Problem
Large entities face challenges in monitoring and managing security vulnerabilities across complex information technology infrastructures, particularly in mainframe environments with multiple logical partitions and diverse user requirements, leading to difficulties in identifying and prioritizing security issues before they become critical.
Innovation Solution
A centralized privacy evaluation engine that compiles applications into a database, generates a weighted asset security value based on information security and business criteria, and provides an interactive graphical interface for users to filter and visualize vulnerabilities, allowing for prioritization and detailed analysis of application characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a centralized database compiling all applications across the entity is created, then the ability to identify and track vulnerabilities improves, but the complexity of managing and processing the large volume of application data worsens
Solution Approach 1:
The patent segments the large-scale vulnerability management system into modular components: a centralized database for data storage, a processing engine for analyzing application characteristics, and an interactive interface for user interaction. This segmentation allows the system to handle large volumes of application data without overwhelming complexity by dividing the management task into manageable modules that can operate independently yet coordinated.
Solution Approach 2:
The patent introduces an interactive graphical interface as an intermediary between the centralized database and users. This intermediary layer processes and presents vulnerability information in a comprehensible format, filtering and organizing the complex data from the database before presentation. The interface acts as a mediator that simplifies the interaction between users and the complex underlying data structure.
2Reliability
If detailed information about all application characteristics is collected and analyzed, then the prioritization of security vulnerabilities improves, but the time and computational resources required worsens
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing application characteristic data in the centralized database before security assessments are needed. Application information, including vulnerability data and business criteria, is compiled and organized in advance, allowing the system to quickly retrieve and analyze relevant information when security assessments are required, rather than processing all data from scratch each time.
Solution Approach 2:
The patent applies partial action by focusing analysis on specific application characteristics and vulnerability types that are most relevant to security prioritization. Rather than analyzing every possible attribute of each application equally, the system identifies and concentrates computational resources on the most critical security-related characteristics, achieving reliable security assessment with reduced computational overhead.
3Adaptability or versatility
If the system provides comprehensive filtering and visualization capabilities for all application characteristics, then user control and prioritization ability improve, but the interface complexity and difficulty of operation worsens
Solution Approach 1:
The patent implements dynamics by creating an adaptive interface that adjusts its complexity based on user needs and preferences. The interactive graphical interface allows users to dynamically select which application characteristics to filter and visualize, enabling the system to simplify or expand its functionality according to the specific assessment requirements. This dynamic adaptability maintains ease of operation while providing comprehensive filtering capabilities when needed.
Solution Approach 2:
The patent applies local quality by allowing users to customize the interface to highlight specific vulnerability types, application characteristics, or business criteria relevant to their particular needs. Rather than presenting all possible filtering options simultaneously, the interface enables users to focus on local areas of interest, displaying detailed information about selected characteristics while keeping the overall interface clean and manageable.
4Reliability
If the system tracks and monitors security vulnerabilities across the entire entity infrastructure, then security coverage and protection capability improve, but the computational resources and processing power required worsens
Solution Approach 1:
The patent extracts and isolates only the critical security-related data and characteristics from the entire application portfolio for detailed analysis. Rather than processing all application data uniformly, the system identifies and extracts vulnerability information, security criteria, and relevant business criteria, separating these from other application attributes. This extraction approach enables comprehensive security coverage while reducing computational resource consumption by focusing processing power on essential security data.
Data Source
AI summary
Embodiments of the invention are directed to a system, method, or computer program product for an engine for exposing vulnerability within applications based on application characteristic identification. In this way, the engine identifies existing data sets that aid in understanding the possible privacy vulnerabilities associated with technologies such as applications, operated by an entity. The engine comprises dials and levers that allow for prioritization visualization of vulnerabilities critical to a particular portion of the entity. In this way, a user can drive the application engine allowing them to narrow the focus on any number of variations of application characteristics including, but not limited to types of vulnerabilities, status of the vulnerabilities, critical applications, regulated applications, vulnerabilities, business continuity and/or accessibility to the applications.