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Comment by Robelkidin | Hacker News Reader

It's designed to be SOC 2 compliant with your existing infra. You can spin up local Ollama instead of Claude/openAI APIs. But if you can use external Claude/OpenAI APIs over local Ollama [in-cluster llm].

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I am confused on the SOC2 compliance part you keep mentioning. How is it SOC2 compliant? You have completed an audit? Is that report or at least an executive summary available? Or it’s all locally hosted and shouldn’t impact my controls?

And the second part about models, if model choice doesn’t matter, what do they do? If LogClaw injests my logs, applies your custom algorithm to automatically create intelligent alerts without me having to configure anything, what does the LLM do?

If the LLMs are necessary for this, then mode choice should matter no? Some 2 year old version of Mistral or OLLAMA or NanoGPT isn’t going to perform as well as OpenAI or Claude no?

I have not done SOC 2 audit yet. LogClaw is configure to run locally and you can deploy it in your org. so technically all your data you can own them. Your logs go thru many steps. First thru ranking, only the flagged logs go to LLM usually 1-30% of your logs, LLM is used to understand the root cause and in creating a rich context incident ticket. LLM is not used to flag your logs. Currently we support standardized logs OTEL. so we can determine using our algo 99% of incidents.

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