By Rom c
Founder of Questa AI
Hi everyone,
I’ve recently started using public LLM tools (like ChatGPT and similar AI assistants) to help with tasks such as:
They’re really helpful for productivity, but I’m concerned about the security side when working with cloud environments.
Sometimes logs, configs, or snippets may contain:
Uploading that to a public AI tool feels risky from a privacy and compliance perspective.
For those working with DigitalOcean or other cloud platforms:
What’s considered best practice here?
Do you:
Would love to hear how others handle this safely in real-world workflows. Thanks!
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Hi there,
For me, a good rule of thumb is to treat public LLMs like a public pastebin. If you would not paste it on the internet, do not paste it into an AI tool.
What most people do in practice:
Sanitize first: redact IPs, tokens, customer data, hostnames, etc.
Use mock or representative configs instead of real production ones
Avoid pasting full prod logs or secrets entirely
For more sensitive workloads, running models in your own environment is the safest route. On DigitalOcean, the Gradient platform lets you work with LLMs inside your own cloud setup, so data does not leave your control: https://www.digitalocean.com/products/gradient/platform
Public LLMs are great for speed and productivity, just use them with the same caution you would use when sharing anything publicly.
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