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Leveraging Large Language Models for Cross-Vendor Firewall Configuration Migration: A Comparative Case Study of Claude and ChatGPT

Leveraging Large Language Models for Cross-Vendor Firewall Configuration Migration: A Comparative Case Study of Claude and ChatGPT (PDF, 0.44MB)Published: 12 May, 2026
Created by:
Omar Zamar

Firewall migration projects are challenging even for experienced network security teams. They demand precise translation of complex policy configurations between vendor platforms, a process that consumes a substantial portion of total project migration effort. This paper investigates how two current-generation large language models (LLMs) perform on a single, representative firewall migration task.