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.
SANS-Leveraging-Large-Language-Models-Cross-Vendor-Firewall-Configuration-Migration-Comparative-Case-Study-Claude-ChatGPT-051226 (PDF, 0.44MB)
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