AI firewall configuration review for security gaps and misconfigurations
Build a workflow that accepts a firewall configuration file via a form or upload page. Parse the file contents and pass them to an LLM with a prompt that asks it to identify overly permissive rules, shadowed or redundant rules, missing logging/deny defaults, and prioritized remediation steps. Offer two modes: a single structured report and an interactive agent chatbot that answers follow-up questions about the config. Handle large files by chunking, guard against unsupported formats with a clear error, and never echo secrets. Output a readable assessment with severity-ranked findings and recommendations.
What this prompt builds
Upload a firewall config and get an AI-generated breakdown of risky rules, gaps, and concrete hardening recommendations.
The problem
Firewall rule bases sprawl over years into thousands of overlapping, overly permissive, or dead rules that no one has time to read line by line. Manual reviews are rare, slow, and inconsistent, so misconfigurations quietly persist until an audit or incident exposes them.
Solution and impact
This workflow lets an analyst upload a configuration file and uses an LLM to assess rules, flag likely vulnerabilities, and suggest improvements, with both a one-shot analysis and a conversational agent mode. Reviews that took a specialist a day collapse into minutes, and the output is repeatable and easy to act on.