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

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.