Concept

Privacy tier

A tier on every agent. `sensitive` is a hard gate — those runs physically cannot reach a cloud endpoint.

Privacy is enforced at the platform layer, not the agent layer. An agent author cannot accidentally leak data to a cloud provider — the router drops the request before it leaves the box.

#The three tiers

  • public — no constraints. Suitable for marketing copy generators, public knowledge agents, and the like.
  • internal — must stay within the tenant's contracted model set. Frontier cloud models are allowed but only those approved by the operator's data-handling policy.
  • sensitive — physically cannot reach a cloud endpoint. The router filters the catalog down to locality: local providers before scoring, and drops the run if none qualify.

#How it's enforced

Every spec carries a privacy_tier field. The router reads it and applies the tier as a hard filter on the catalog. The filter is applied before capability-class scoring, before budget scoring, before health scoring — so even a misconfigured catalog can't leak.

identity:
  name: code-reviewer
  team: support
privacy_tier: sensitive
model_policy:
  capability_class: local-reasoning

The platform also enforces tier on:

  • Spawned subagents. A sensitive parent can only spawn sensitive children — tier propagates down the tree.
  • Tool calls. Tools tagged network are gated by tier; a sensitive agent's network tools are restricted to the operator's configured allowlist (e.g. internal services only).
  • Datasets. Datasets uploaded with tier sensitive are unreadable to non-sensitive runs.

#Why it's a platform concern

Letting agent authors choose the model would mean every author has to re-derive the privacy posture. They'd get it wrong eventually. By making the tier the only thing the spec declares — and letting the platform pick the model — we move the security boundary to the right place: the operator's runtime config, audited once, enforced forever.

Source: apps/web/content/docs/concepts/privacy-tier.md
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Privacy tier · ALDO AI Docs