LLM Agentic Workflow for Automated Vulnerability Detection and Remediation in Infrastructure-as-Code

LLM Agentic Workflow for Automated Vulnerability Detection and Remediation in Infrastructure-as-Code

This paper presents a multi-agent, AI-driven strategy employing Large Language Models (LLMs), retrieval-augmented generation, and a continuously updated knowledge base for the detection and remediation of security vulnerabilities win cloud frameworks. By examining Infrastructure as Code (IaC) templa...

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Bibliographic Details
Main Authors: Dheer Toprani, Vijay K. Madisetti
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Infrastructure-as-code
large language models
vulnerability detection
security automation
CI/CD
LLM workflows
Online Access:https://ieeexplore.ieee.org/document/10965635/
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https://ieeexplore.ieee.org/document/10965635/

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