AI · 15h ago
Local AI Models Fix Data Privacy, Not Agent Safety
Local deployment ensures data stays on-premises, solving compliance for regulated industries. However, prompt injection (50-85% success rates), provenance failures, and privilege escalation persist regardless of where the model runs. The real risk is what the agent can access, not where the model is hosted.
Meridian48 take
The article correctly punctures the myth that local equals safe, but understates that for bounded, reversible tasks local models are genuinely safer—the danger is overselling them for high-stakes autonomous actions.
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'Local' Solves Where Your Data Goes. It Doesn't Solve What Your Agent Does →
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