Dual Introspection Engine for Secure Network Endpoint Forensics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional computer security systems in distributed environments, such as corporate networks and cloud computing, face challenges in responding effectively to malware threats, requiring substantial server-side computational power and human intervention for analysis and remediation, and struggle to efficiently manage security operations across multiple clients.
Innovation Solution
A client computer system configured with a hypervisor, live introspection engine, and on-demand introspection engine, where the live introspection engine detects events in a guest virtual machine and transmits indicators to a remote server, which selects and retrieves appropriate security tools from a central repository for analysis, enabling efficient and automated forensic analysis and threat mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional security software is deployed on each client system, then local detection capability is improved, but server computational burden increases and response time deteriorates due to centralized analysis requirements
Solution Approach 1:
The security system is segmented into distributed components: lightweight agents on client systems perform initial detection and data collection, while a central server handles complex analysis and tool management. This segmentation allows local detection to proceed independently without waiting for centralized analysis, improving response time while maintaining detection capability.
Solution Approach 2:
A remote tool repository acts as an intermediary between the server and client systems, pre-storing security tools that can be rapidly deployed to clients. This intermediary eliminates the need for servers to generate and transmit tools in real-time, reducing response time while maintaining comprehensive detection capability.
2Measurement precision
If comprehensive security analysis tools are deployed on each client system, then analysis capability is improved, but device complexity and resource consumption increase
Solution Approach 1:
Complex security analysis tools are extracted from client systems and stored centrally in a remote tool repository. Clients only maintain lightweight agents for data collection and tool reception, while the server manages the comprehensive toolset. This extraction reduces client device complexity while preserving full analysis capability through centralized tool deployment.
Solution Approach 2:
Security tools are prepared and stored in advance in the remote tool repository, with metadata indicating their functionality and compatibility. When a security event occurs, the appropriate pre-prepared tools are rapidly deployed to the client, eliminating the need for clients to maintain complex tool inventories while ensuring comprehensive analysis capability is available when needed.
3Productivity
If security tools are stored centrally on the server, then tool management efficiency is improved, but retrieval time increases due to network communication requirements
Solution Approach 1:
Security tools and their metadata are prepared and stored in advance in the remote tool repository with organized indexing. When a client needs a tool, the server can rapidly identify and transmit the specific tool based on pre-configured criteria, minimizing retrieval time while maintaining centralized management efficiency.
Solution Approach 2:
The remote tool repository is positioned remotely from the server but accessible to multiple clients, creating a localized cache that reduces the distance and time for tool transmission. This spatial optimization allows centralized management to proceed efficiently while minimizing network communication delays during tool retrieval.
4Measurement precision
If human operators are dispatched for security analysis and remediation, then detection accuracy is improved, but operational efficiency and scalability deteriorate
Solution Approach 1:
The system enables automated self-service through intelligent agents that collect security data, receive appropriate tools from the remote repository, and execute analysis and remediation actions automatically. This automation maintains high detection accuracy through sophisticated algorithms while dramatically improving operational efficiency and scalability by eliminating the need for human operator intervention in routine security incidents.
Data Source
AI summary
In some embodiments, a protected client operates a live introspection engine and an on-demand introspection engine. The live introspection engine detects the occurrence of certain events within a protected virtual machine exposed on the respective client system, and communicates the occurrence to a remote security server. In turn, the server may request a forensic analysis of the event from the client system, by indicating a forensic tool to be executed by the client. Forensic tools may be stored in a central repository accessible to the client. In response to receiving the analysis request, the on-demand introspection engine may retrieve and execute the forensic tool, and communicate a result of the forensic analysis to the security server. The server may use the information to determine whether the respective client is under attack by malicious software or an intruder.