Generative Remediator for Automated Cloud Security Remediation
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Solution Overview
Problem
Existing cybersecurity remediation solutions in cloud computing environments face challenges due to the need for high-level permissions and access, which organizations are hesitant to provide, especially when maintained by third parties, and self-maintenance is costly.
Innovation Solution
A system utilizing a generative remediator, such as a large language model (LLM), generates remediation actions based on detected cybersecurity issues, allowing for automated and efficient remediation within cloud environments without requiring continuous high-level access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remediation solutions are maintained by third parties with high-level access, then remediation effectiveness is improved, but security risk and organizational hesitation increase
Solution Approach 1:
The patent introduces an intermediary mechanism where the remediation solution operates through generated code and automated workflows rather than requiring continuous high-level access. The system acts as a mediator between the security tool and the computing environment, using temporary, scoped credentials that are automatically managed and revoked, thus maintaining remediation effectiveness while reducing security risk.
Solution Approach 2:
The system performs preliminary actions by generating and testing remediation code in isolated environments before applying it to the actual computing environment. This includes creating sandboxed test instances, validating remediation logic, and preparing credentials in advance with automatic rotation and revocation policies, thereby ensuring effectiveness while minimizing exposure.
2Object-affected harmful factors
If remediation solutions are maintained by the organization itself, then security control is improved, but cost and specialization requirements increase
Solution Approach 1:
The remediation solution implements self-service capabilities through automated code generation, self-testing in sandboxed environments, and automatic credential management. The system generates its own remediation workflows, validates its actions through automated testing, and manages its access credentials without requiring specialized human intervention, thereby maintaining security control while reducing maintenance costs.
Solution Approach 2:
The patent replaces manual, human-operated remediation processes with automated computational systems. Instead of requiring specialized personnel to manually implement remediation actions, the system uses automated code generation, workflow orchestration, and machine-executed remediation scripts, substituting mechanical human labor with automated computational processes.
3Ease of operation
If continuous high-level access is provided for remediation, then remediation capability is improved, but access management complexity and cost increase
Solution Approach 1:
The system implements periodic action through time-limited access credentials that are automatically rotated and revoked. Instead of continuous high-level access, the system uses temporary credentials with defined lifetimes, automatically renewing them only when necessary for remediation operations. This maintains remediation capability while reducing access management complexity through automated lifecycle management.
Solution Approach 2:
The access management system is made dynamic through automated credential generation, rotation, and revocation based on real-time remediation needs. The system adapts its access levels and credential lifetimes based on the specific remediation task at hand, using just-in-time provisioning and automatic revocation after task completion, thereby maintaining capability while reducing complexity.
Data Source
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AI summary
A system and method for generating a remediation action in a computing environment based on a cybersecurity inspection. The method includes: inspecting a computing environment for a cybersecurity object; detecting a cybersecurity issue in the computing environment based on detection of the cybersecurity object; generating an input for a generative remediator based on the detected cybersecurity issue, wherein the generative remediator is configured to generate an output including a remediation action based on the input; and initiating the remediation action in the computing environment.