Generative AI Remediation Scripts for Incident-Specific Response

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Solution Overview

Problem

Traditional incident management solutions rely on manual script creation, which is time-consuming, inconsistent, and prone to errors, and static remediation scripts fail to adapt to unique environments, requiring resource-intensive manual updates.

Innovation Solution

Generative AI is used to analyze existing scripts and generate tailored remediation scripts in real-time, adapting to specific incidents and environmental parameters, reducing the need for manual intervention and enhancing efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual script creation is used, then scripts can be customized for specific incidents, but the process is time-consuming and prone to human error

Engineering Contradiction:
Improvescript accuracyVSAvoidscript creation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service by allowing the script repository to automatically generate and update remediation scripts through AI-driven analysis of incident data, eliminating the need for manual script creation by security personnel while maintaining high accuracy through automated validation processes

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical process of manual script writing with an automated AI-based system that analyzes incident characteristics, retrieves relevant parameters, and generates optimized remediation scripts automatically, thereby reducing both time consumption and human error

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Ease of manufacture

If static remediation scripts are used, then script creation is simplified, but they fail to adapt to unique situations or variations in environments

Engineering Contradiction:
Improvescript creation easeVSAvoidscript adaptability
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system implements dynamics by making remediation scripts adaptive and configurable rather than static, allowing scripts to automatically adjust their behavior based on incident-specific parameters and environmental variations while maintaining ease of deployment through automated generation

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent applies local quality by enabling different parts of the remediation system to have specialized functions, where the AI model analyzes specific incident characteristics and generates customized script parameters tailored to each unique situation, rather than applying a one-size-fits-all approach

Inventive Principle:
Principle #3Local quality

3Productivity

If pre-defined remediation scripts are stored in repositories, then script deployment is faster, but manual updates are required as new vulnerabilities emerge

Engineering Contradiction:
Improvescript deployment speedVSAvoidmanual update time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system implements feedback mechanisms where the AI model continuously learns from new incident data and vulnerability information, automatically updating the script repository with improved remediation scripts without requiring manual intervention, thus maintaining both fast deployment and current effectiveness

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies preliminary action by proactively generating and storing remediation scripts in advance based on predicted incident patterns and emerging vulnerability trends, so that when new incidents occur, pre-prepared optimized scripts are immediately available for rapid deployment

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250298582A1Generative ai-based remediation script generation
Publication Date: 2025.09.25 ACRONIS INT
  • US20250298582A1 patent drawing
  • US20250298582A1 patent drawing
  • US20250298582A1 patent drawing

AI summary

Systems and methods for generating and customizing remediation scripts. Generative AI models can analyze existing scripts and tailor scripts according to specific incidents and environmental parameters, thereby creating a faster, more consistent, and error-free incident response process compared to existing solutions.