AI-Powered Automated Penetration Testing for Vulnerability Detection
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Solution Overview
Problem
Existing penetration testing methods are manual, time-constrained, and prone to errors, missing potential vulnerabilities due to reliance on human skill and experience, leading to incomplete assessments.
Innovation Solution
A network-based system and method utilizing a penetration testing computer system with artificial intelligence capabilities to automate the analysis of computer systems and networks, including receiving scan data, identifying vulnerabilities, determining attack vectors, generating exploits, and executing them to rapidly identify and remediate vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual penetration testing is used, then tester skill and experience can be applied, but the process is time-consuming and prone to errors
Solution Approach 1:
The patent replaces manual penetration testing with an automated system that uses scan data processing, vulnerability pattern matching, and exploit generation algorithms. The system automatically analyzes scan results, identifies vulnerabilities based on predefined patterns, and generates exploits without human intervention, thereby eliminating time consumption and human error while maintaining testing accuracy through systematic analysis
Solution Approach 2:
The system performs self-service by automatically processing scan data, identifying vulnerabilities, and generating exploits without requiring manual tester intervention. The automated workflow allows the system to independently complete the entire penetration testing process from data reception to exploit generation, significantly reducing testing time while maintaining reliability through consistent algorithmic analysis
2Measurement precision
If manual penetration testing is performed, then human judgment can be applied, but vulnerabilities may be missed due to time constraints
Solution Approach 1:
The patent replaces manual vulnerability analysis with automated pattern matching algorithms that systematically scan for vulnerability signatures in scan data. The system processes large volumes of data quickly using computational algorithms, ensuring high detection accuracy without the time constraints that limit manual testing. The automated approach maintains precision by thoroughly analyzing all scan results against comprehensive vulnerability patterns
Solution Approach 2:
The system enables continuous vulnerability detection by automatically processing scan data as it is generated, rather than requiring discrete manual analysis periods. The continuous automated workflow ensures that all vulnerabilities are detected without interruption, maintaining both high productivity and measurement precision through uninterrupted systematic analysis
3Productivity
If automated penetration testing is implemented, then speed and consistency are improved, but system complexity increases
Solution Approach 1:
The patent segments the penetration testing system into distinct functional modules: scan data reception module, vulnerability identification module, and exploit generation module. Each module performs a specific function independently, making the overall complex system manageable through modular architecture. This segmentation allows the system to achieve high productivity through automated processing while keeping complexity organized and controllable through clear functional separation
Data Source
AI summary
A system for analyzing computer systems and networks for potential vulnerabilities to cyber-attacks configured to (i) receive scan data from a scan of a target computer device; (ii) search for one or more vulnerabilities based on the scan data; (iii) determine at least one attack vector based on the one or more vulnerabilities; (iv) generate one or more exploits based on the one or more attack vectors and the one or more vulnerabilities; and (v) execute the one or more exploits on the target computer device.