Autonomous Virus Defense With AI Port Closure and Patching
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Solution Overview
Problem
Current methods for combating cyber-attacks, such as viruses and malware, rely heavily on human intervention, which is costly, time-consuming, and prone to missing subtle changes in network activity, necessitating a more efficient and autonomous defense system.
Innovation Solution
An autonomous computer defense system utilizing artificial intelligence and machine learning to analyze attacks, close compromised ports, develop software scripts, and replace vulnerable source code to prevent future attacks, operating independently without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human response methods are used to combat cyber-attacks, then the system can detect and respond to attacks, but the response time is slow and costs are high
Solution Approach 1:
The system employs autonomous AI agents that automatically detect, analyze, and respond to cyber-attacks without human intervention. The agents continuously monitor network traffic, identify malicious patterns, and execute defensive actions independently, enabling the system to protect itself in real-time without waiting for human analysts.
Solution Approach 2:
The patent replaces manual human analysis and response mechanisms with automated AI-based systems. Machine learning models analyze network traffic patterns, while automated scripting tools generate and deploy defensive scripts, substituting the mechanical process of human investigation with intelligent automated systems that operate continuously at machine speed.
2Reliability
If human employees are tasked with monitoring network activity, then attacks can be detected, but employees can be overworked and miss subtle changes
Solution Approach 1:
The autonomous agents perform continuous network monitoring and attack detection without requiring human employees to manually examine traffic. The system serves itself by automatically analyzing patterns, identifying threats, and responding to incidents, thereby eliminating the operational burden on human staff while maintaining high detection accuracy through AI-powered analysis.
Solution Approach 2:
The system creates multiple autonomous AI agents that can simultaneously monitor different aspects of network traffic. These virtual agents replicate human analytical capabilities but operate without fatigue, allowing parallel analysis of numerous traffic streams and subtle pattern recognition that would be difficult for single human operators to sustain.
3Reliability
If patches are produced by the cyber community to address vulnerabilities, then security gaps can be filled, but the process takes hours or days
Solution Approach 1:
The system proactively identifies vulnerabilities in the codebase before they can be exploited. AI agents continuously scan source code, detect security weaknesses, and automatically generate patch scripts in advance, eliminating the need to wait for external vulnerability disclosures or community patch development. This preliminary action ensures vulnerabilities are addressed immediately upon detection.
Solution Approach 2:
The autonomous system performs self-healing by automatically generating and applying patches to fix detected vulnerabilities without external intervention. The AI agents analyze vulnerable code patterns, create corrective scripts, and deploy fixes autonomously, enabling the system to remediate security gaps in real-time rather than waiting for manual patch development cycles.
4Reliability
If existing security systems are used, then basic protection is provided, but they lack adaptability to evolving threats
Solution Approach 1:
The system employs dynamic AI agents that continuously learn and adapt to new threat patterns. Unlike static signature-based systems, these agents evolve their detection capabilities by analyzing emerging attack vectors and adjusting their behavior in real-time, enabling the security system to remain effective against continuously evolving threats while maintaining reliable baseline protection.
Data Source
AI summary
Apparatus and methods are provided in relation to an autonomous computer system that can defend against known and unknown virus and malware attacks. Various embodiments include a Virus Autonomous Defense System (VADS) can on its own without human intervention once it is turned on. Embodiments can incorporate hardware coupled with various types of artificial Intelligence software and systems to perform response functions including closing ports that are being compromised, analyze an attack, and develop software scripts (signatures) to defend against future attacks, and create responses which defeat an attack that can include a follow on response of freeing up an attacked port for continual operation.