Local LLMs can cut costs, but they can still leak data
Running a on your own computer can reduce dependence on outside services and may lower cost when usage grows. It can also give more speed and control. But local use does not automatically make the setup safe.
Data can still leak through logs, plug-ins, model downloads, badly set , or text pasted carelessly into a prompt. Before installing anything, teams should decide what they are protecting. That includes the kind of data the model will touch, such as customer personal data, internal uments, , or medical records.
They should also define the worst possible harm from a leak, such as legal trouble, business loss, or damage to trust. The safest default is that nothing leaves the machine unless it has been clearly approved.
Key points
- Local use can bring more control and may lower cost at scale.
- can still leak data through logs, plug-ins, downloads, , or prompts.
- Teams should define what data the model will touch before installing tools.
- Risk planning should include malware, teammates, broken , and accidental sharing.
- The default rule should be that no data leaves the machine unless clearly approved.