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Security

A local AI system is only credible if its boundaries are legible.

selbsai is positioned as a private system, which means the site should explain not only what the product does, but what it does not do by default.

Local inference boundary

The core experience is designed to run on-device so normal use does not depend on a remote model API.

Controlled preload path

When preload is selected, file intake is explicit, temporary, and tied to provisioning rather than vague background syncing.

Open-stack transparency

The product thesis depends on open tooling and open-weight model families that can be inspected, updated, and matched to workload fit.

Operational controls

Portal visibility, shipping state, and support touchpoints reduce uncertainty around what is happening to the customer’s system and data.

This page explains product posture and operating design. It is not a substitute for a formal security review or legal advice.

Security posture — SELBSAI