AI Virtualized Intrusion Analysis for Safe Resource Access
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Solution Overview
Problem
There is a need for a system to identify and analyze computing device intrusions using artificial intelligence powered virtualized environments to prevent unauthorized access and gather intelligence on evolving intrusion methods.
Innovation Solution
A system comprising a memory device with computer-readable program code and processing devices that execute instructions to analyze resources in an AI-powered virtualized environment, determine malicious content, and manage access, using an AI engine to generate an isolated virtual environment for analysis and update resource repositories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are analyzed in a traditional environment, then analysis speed may be faster, but security risk increases due to potential contamination
Solution Approach 1:
The system segments the analysis environment from the production network by creating isolated virtualized environments for each resource analysis. This allows security analysis to be performed without exposing the main system to potential threats, while maintaining analysis capabilities through virtualization.
Solution Approach 2:
The virtualized environment acts as an intermediary between the resource being analyzed and the analysis system. This intermediate layer enables thorough security scanning while preventing direct contact between potential malicious content and the core system, thus maintaining both security and analysis effectiveness.
2Reliability
If AI-powered virtualized environment is used for analysis, then security and intelligence gathering improve, but system complexity increases
Solution Approach 1:
The AI engine automatically performs resource analysis, threat detection, and classification without requiring manual intervention. The system self-manages the virtualized environments, automatically provisioning and deprovisioning analysis instances based on incoming resources, thereby reducing operational complexity despite the advanced capabilities.
Solution Approach 2:
The virtualized environment is designed to be universal and multi-functional, capable of hosting different types of resource analyses (documents, code, media files, etc.) through a single unified platform. This consolidates multiple analysis functions into one system, managing complexity through standardization rather than proliferation of separate systems.
3Loss of time
If real-time analysis is performed on all resources, then security response time improves, but processing capacity may be overwhelmed
Solution Approach 1:
The system performs partial analysis on all resources (basic scanning) and excessive analysis on suspicious resources (deep AI-powered scanning). This tiered approach ensures that critical security threats are thoroughly investigated while routine resources receive faster, lighter processing, balancing response time with processing capacity.
Solution Approach 2:
The system performs preliminary filtering and classification of resources before full analysis. By pre-processing resources to identify obvious threats or safe content, the system can quickly handle routine cases and reserve intensive AI analysis for suspicious resources, maintaining fast response times without overwhelming processing capacity.
Data Source
AI summary
Embodiments of the present invention provide a system for identifying and analyzing computing device intrusions using artificial intelligence powered virtualized environment. The system is configured for determining that a user accessed a resource via a user device, instantaneously transmitting the resource to an artificial intelligence powered virtualized environment, analyzing the resource in the artificial intelligence powered virtualized environment, determining if the resource comprises malicious content based on analyzing the resource in the artificial intelligence powered virtualized environment, and allowing or denying access to the resource by the user based on determining if the resource comprises malicious content.