Autonomous AI Vulnerability Remediation Through Script Curation
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Solution Overview
Problem
Existing vulnerability remediation processes in Information Handling Systems (IHS) are time-consuming and require manual intervention, with proposed fixes often being generic and needing customization, especially for third-party software vulnerabilities.
Innovation Solution
A system utilizing an autonomous artificial-intelligence bot, such as ChatGPT, generates and refines vulnerability remediation scripts through a filtering and curation process, ensuring accurate and efficient execution on IHSs, with iterative improvements based on success criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used for vulnerability remediation, then quality of remediation solutions can be controlled, but time consumption increases and productivity decreases
Solution Approach 1:
The system enables self-service automation where the vulnerability management system automatically queries AI bots, filters responses, executes remediation scripts, and monitors outcomes without requiring continuous manual intervention. The automated workflow handles the entire remediation lifecycle from vulnerability detection to fix verification.
Solution Approach 2:
The system implements feedback mechanisms by monitoring the execution results of remediation scripts and using these results to refine future AI queries. Success criteria are evaluated and fed back into the system to improve the quality of automated responses over time.
2Productivity
If AI bots generate remediation solutions automatically, then productivity increases, but quality and accuracy of solutions may deteriorate
Solution Approach 1:
The system introduces an intermediary filtering and curation layer between the AI bot and the remediation execution. This intermediary component evaluates AI-generated responses against success criteria, filters out low-quality responses, and selects the most appropriate remediation scripts for execution.
Solution Approach 2:
The system replaces manual mechanical review processes with automated AI-based generation and evaluation mechanisms. The AI bot generates remediation solutions automatically, and the system automatically evaluates and executes them, substituting human manual operations with automated intelligent systems.
3Ease of operation
If generic remediation scripts are used, then ease of application improves, but adaptability to specific system configurations deteriorates
Solution Approach 1:
The system applies local quality by customizing remediation scripts to match specific system configurations, operating systems, and vulnerability contexts. Rather than using one-size-fits-all generic scripts, the system tailors each remediation approach to the specific IHS environment and vulnerability characteristics.
Solution Approach 2:
The system implements dynamics by making remediation scripts adaptable and configurable rather than static. The scripts can dynamically adjust their behavior based on system responses, execution results, and feedback information, allowing them to adapt to varying system configurations and conditions.
Data Source
AI summary
A system and method for vulnerability redemption is disclosed. The method comprises extracting vulnerability details from a vulnerability report regarding an affected host, constructing a bot query based on the vulnerability details, receiving a vulnerability resolution script from a bot in response to the bot query, triggering execution of the vulnerability resolution script on the affected host, receiving an indication of successful execution of the vulnerability resolution script on the affected host, and saving the vulnerability resolution script to a remediation database.