A developer conducted a fire drill for incident response using a local LLM to test the effectiveness of their network security tool, RoamSwitch. The tool's "Air-Gap containment" feature disconnects the network during security incidents, which would also disable cloud-based AI assistants. To address this, RoamSwitch includes a read-only MCP server that can query local LLMs, such as one running via Ollama, for diagnostic information. The developer simulated a ransomware-like attack by manually creating incident data in RoamSwitch's state files and then asked a local Qwen model to investigate, aiming to verify the LLM's ability to provide crucial insights even when the network is down. AI
IMPACT Demonstrates the potential for local LLMs to provide critical assistance during network-isolated security incidents.
RANK_REASON Developer describes a practical test of their own product integrating a local LLM for a specific use case.
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