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Data Residency — Enterprise Knowledge Governance

🧭 Quick Return to Map

You are in a sub-page of Enterprise_Knowledge_Gov.
To reorient, go back here:

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

Guardrails and fix patterns to enforce jurisdiction and residency rules on enterprise knowledge pipelines. Use this page when retrieval or storage drifts across regions and breaks compliance with local data laws.

When to use this page

  • Snippets come from indexes hosted outside the allowed jurisdiction.
  • AI answers blend EU-only and US-only data without labels.
  • Multi-region retrievers collapse into lowest-latency store instead of correct residency.
  • Replicas sync to unapproved clouds or regions.

Core acceptance targets

  • ΔS(question, retrieved) ≤ 0.45 within jurisdiction.
  • ≥0.70 coverage for the correct residency domain.
  • λ convergent across three paraphrases and two seeds.
  • Every snippet labeled with {region_tag, residency_scope, audit_hash}.

Typical residency problems → exact fix

Symptom Likely cause Open this
EU vs US content blended Index replicas lack residency tags retrieval-traceability.md
Latency-based failover picks wrong region Bootstrap not locked to residency fences bootstrap-ordering.md
Snippets without residency label Schema missing region_tag field data-contracts.md

Fix in 60 seconds

  1. Probe ΔS across regions: ask the same Q, check EU vs US vs APAC stores.
  2. Enforce residency schema: all payloads must carry region_tag.
  3. Rebuild index replicas with locked residency metadata.
  4. Test λ stability with paraphrases inside each residency scope only.

Copy-paste schema (JSON)

{
  "snippet_id": "KB-8837",
  "region_tag": "eu-central",
  "residency_scope": "gdpr_lock",
  "audit_hash": "sha256:...",
  "text": "..."
}

Escalate when

  • ΔS ≥ 0.60 across paraphrases even with region locks.
  • Index routing repeatedly breaks residency rules.
  • Legal audit requires external certification.

Use retrieval-playbook.md and eval_rag_precision_recall.md for deep remediation.

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