Virtual Container Isolation for Suspicious Code Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional security systems often fail to prevent harmful code from spreading to other systems within an organization, requiring costly and time-consuming measures that hinder operations.
Innovation Solution
A security system utilizing virtual containers for analysts to isolate and analyze suspicious information, providing physical and logical separation from other systems, and using non-native applications to review information in a different format, thereby preventing the spread of harmful code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security systems are used to identify harmful code, then security analysis can be performed, but harmful code may spread to other systems in the organization
Solution Approach 1:
The system divides the computing environment into isolated virtual containers, each capable of running suspicious code independently. This segmentation prevents harmful code from spreading to other systems while maintaining the ability to perform security analysis. Each container acts as a separate execution environment with controlled access to resources.
Solution Approach 2:
The patent introduces a sandboxed virtual container as an intermediary between the suspicious code and the host system. This intermediary layer allows security analysts to observe and analyze harmful code behavior without direct exposure to the main system, effectively mediating the interaction between potentially malicious code and the organization's infrastructure.
2Reliability
If expensive and restrictive security measures are implemented to prevent harmful code spread, then security may be improved, but organization operations are hampered
Solution Approach 1:
By segmenting the execution environment into virtual containers, the system provides strong security isolation without requiring expensive physical air-gapping or complete system shutdowns. Analysts can safely execute and analyze suspicious code in isolated containers while the rest of the organization's systems continue to operate normally, maintaining productivity while ensuring security.
Solution Approach 2:
The system changes the operational parameters of security analysis by allowing dynamic creation and destruction of virtual containers. This enables on-demand isolation environments that can be quickly provisioned for analysis and then discarded, replacing static, restrictive security measures with flexible, parameter-driven isolation that maintains both security and operational efficiency.
3Object-affected harmful factors
If virtual containers are used to isolate suspicious information, then harmful code spread is prevented, but system complexity increases
Solution Approach 1:
The virtual container infrastructure provides multiple functions within a single system architecture: isolation of malicious code, controlled execution environment, resource management, and secure analysis platform. This multi-functionality reduces the need for separate specialized systems for each security function, thereby managing complexity while achieving comprehensive harmful code containment.
Data Source
AI summary
Providing an isolation system that allows analysts to analyze suspicious information in way that aids in preventing any harmful information from spreading to other applications and systems on a network. The isolation systems are physically and/or logically separated from other systems on the network. A plurality of virtual containers, which may be disposable and specific to each analyst, may be utilized to analyze the suspicious information within the isolation systems. Should a virtual container be infected with harmful information it may be discarded a new virtual container may be used to review the suspicious information. A non-native application may be used to transform the format of the suspicious information into a non-native format in order to aid preventing the harmful information from infecting the other systems on the network.


