Security Correlation Engine for Cross-Service Remediation Prioritization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing security management systems fail to effectively correlate data across different security services, leading to missed opportunities for insights and inefficient remediation prioritization due to their siloed nature.
Innovation Solution
A correlation engine that aggregates and correlates data from application security services and vulnerability management services to assess coverage and prioritize remediation based on combined CVSS scores, identifying and addressing gaps in coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If security services operate in silos independently, then each service can be managed and operated separately with simpler individual architecture, but the system loses the ability to correlate data across services leading to missed security insights and inefficient remediation prioritization
Solution Approach 1:
The patent merges multiple independent security services into a unified security service platform with a central correlation engine. This engine aggregates data from various security services (vulnerability management, application security, network security) and correlates findings across them. By combining previously siloed services into a unified architecture, the system recovers lost security insights while managing complexity through modular service design and standardized data interfaces.
2Productivity
If security services are integrated into a unified platform with data correlation capabilities, then the system can identify correlations and prioritize remediation more effectively, but the system architecture becomes more complex requiring coordinated management across multiple services
Solution Approach 1:
The unified security service platform is segmented into independent, modular security services (vulnerability management service, application security service, network security service, etc.), each handling specific security functions. The correlation engine acts as a separate coordinating component that receives data from these segmented services without requiring tight integration. This segmentation allows the system to achieve high remediation prioritization efficiency through data correlation while managing architectural complexity through loose coupling and standardized interfaces.
Solution Approach 2:
The correlation engine serves as an intermediary component between various security services and the remediation prioritization process. It aggregates findings from multiple security services, correlates them using defined relationships (such as asset relationships, vulnerability-to-exploit relationships), and produces prioritized remediation recommendations. This intermediary architecture enables effective remediation prioritization while isolating the complexity of inter-service coordination within the correlation engine itself.
3Reliability
If a correlation engine aggregates data from multiple security services, then comprehensive security correlations can be identified and gaps in coverage detected, but the data processing requirements and computational resources increase significantly
Solution Approach 1:
Security services perform preliminary data processing and validation before submitting findings to the correlation engine. Each security service pre-processes its data to extract relevant correlations and relationships, reducing the computational burden on the central correlation engine. This preliminary action ensures comprehensive security assessment accuracy while minimizing the data processing resources required at the aggregation stage.
Data Source
AI summary
Various embodiments include systems and methods pertaining to a security service platform that includes a correlation engine for identifying correlations between different security services of the security service platform. In some embodiments, the correlation engine may be configured to parse, aggregate, and/or correlate data from an application security service and data from a vulnerability management service to assess coverage (or lack thereof) and/or to assist in remediation prioritization. The correlation engine may generate a report that can be presented to a user via a graphical user interface (GUI).