Semantic Entity Graph Analysis for Cybersecurity Root Cause Remediation
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Solution Overview
Problem
The rapid and complex software development lifecycle poses challenges in identifying and remediating cybersecurity events, leading to increased business risk and operator burnout, as existing manual methods are inefficient and prone to subjective errors.
Innovation Solution
A knowledge base is created using an entity graph and semantic concepts to analyze cybersecurity event data, automatically identifying root causes and enabling automated remediation by querying entity-identifying values and semantic concepts to determine paths and perform remedial actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to identify and remediate cybersecurity events, then human operators can exercise judgment and adaptability, but the process becomes inefficient and prone to subjective errors, leading to increased business risk and operator burnout
Solution Approach 1:
The patent replaces manual mechanical analysis of cybersecurity events with an automated system that uses semantic analysis and entity graphs. The system automatically queries the knowledge base, identifies root causes, and executes remediation actions, eliminating the need for manual operator intervention in the analysis and decision-making process.
Solution Approach 2:
The cybersecurity system performs self-service by automatically analyzing its own event data against the knowledge base entity graph, identifying root causes without external human intervention, and executing remediation actions autonomously. The system serves itself in detecting and resolving security issues.
2Productivity
If the software development lifecycle accelerates to increase development velocity, then more software can be created and deployed faster, but cybersecurity events become harder to identify and remediate due to increased complexity
Solution Approach 1:
The patent segments the complex software infrastructure into discrete entities within the knowledge base entity graph. Each software component, configuration, and security event is represented as a separate entity with defined relationships, allowing the system to navigate and analyze the complex infrastructure systematically without being overwhelmed by overall complexity.
Solution Approach 2:
The knowledge base entity graph serves as an intermediary layer between the complex software infrastructure and the security analysis system. It provides a structured representation that mediates between the raw complexity of the software environment and the automated security analysis processes, enabling efficient querying and root cause identification.
3Productivity
If automated tools are introduced to aid in cybersecurity remediation, then efficiency and consistency improve, but the system complexity increases and requires sophisticated knowledge bases and semantic analysis capabilities
Solution Approach 1:
The knowledge base entity graph serves multiple functions simultaneously: it stores security event data, maintains software infrastructure information, defines semantic relationships between entities, and provides the foundation for automated analysis and remediation. This multi-functionality reduces the need for separate specialized systems.
Solution Approach 2:
The system changes the parameter of data representation by transforming raw cybersecurity event data into structured semantic concepts within the entity graph. This transformation enables efficient automated querying and analysis by representing complex security information in a standardized, machine-processable format with defined relationships.
Data Source
AI summary
A system and method for remediating cybersecurity events. A method includes identifying at least one error in a file by applying error-identifying rules to the file. At least one path is identified between the file and one or more policies by querying an entity graph. The entity graph has nodes representing respective software components of a software infrastructure and event logic components of cybersecurity event logic deployed with respect to the software infrastructure. Each of the policies is one of the event logic components. At least one linked policy is identified for the file based on the at least one path. At least one alert caused by the at least one error in the file is determined based on the at least one linked policy. At least one remedial action is performed with respect to the at least one alert caused by the at least one error in the file.