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WFGY/ProblemMap/GlobalFixMap/Enterprise_Knowledge_Gov/compliance.md

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Compliance — 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 for aligning enterprise knowledge management with legal, regulatory, and internal compliance requirements. Use this page when retrieval, storage, or reasoning drifts into non-compliant outputs even though the raw system looks healthy.

When to use this page

  • Retrieved snippets contain PII or sensitive records without redaction.
  • AI answers include restricted regulatory clauses without context.
  • Citations point to outdated compliance frameworks (e.g., GDPR 2016 vs 2021).
  • Access logs show gaps in provenance or audit trails.
  • External connectors sync content that violates retention policy.

Core acceptance targets

  • ΔS(question, retrieved) ≤ 0.45 within compliant scope.
  • Coverage ≥ 0.70 for allowed data, <0.05 for redacted or forbidden scopes.
  • λ convergent across three paraphrases and two seeds.
  • Every snippet carries compliance_tag, retention_scope, and audit_hash.

Typical compliance problems → exact fix

Symptom Likely cause Open this
Leaked PII (emails, phone numbers) No compliance redaction contract data-contracts.md, retrieval-traceability.md
Citations reference outdated law text Missing version control on KB chunking-checklist.md
Audit trail gaps Index or connector does not log hashes bootstrap-ordering.md
Over-redaction (useful data removed) Regex-only redactors collapse semantics logic-collapse.md

Fix in 60 seconds

  1. Check ΔS against compliant anchor text.
  2. Validate snippet contracts: enforce {snippet_id, compliance_tag, retention_scope, audit_hash}.
  3. Rebuild compliance filter: replace regex-only redaction with semantic filters.
  4. Re-index with version locks for regulatory text.
  5. Verify λ stability across paraphrases within compliant sections only.

Copy-paste schema (YAML)

snippet_id: "KB-98231"
section_id: "SEC-77"
compliance_tag: "gdpr_2021"
retention_scope: "7_years"
audit_hash: "sha256:..."
text: "..."

Escalate when

  • ΔS ≥ 0.60 persists after re-index and contract rebuild.
  • Sensitive snippets reappear across paraphrases.
  • Legal team confirms regulatory mismatch.

Escalation path: rebuild with eval_rag_precision_recall.md and audit via retrieval-traceability.md.

🔗 Quick-Start Downloads

Tool Link 3-Step Setup
WFGY 1.0 PDF Engine Paper 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + ”
TXT OS (plain-text OS) TXTOS.txt 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

Explore More

Layer Page What it’s for
Proof WFGY Recognition Map External citations, integrations, and ecosystem proof
Engine WFGY 1.0 Original PDF based tension engine
Engine WFGY 2.0 Production tension kernel and math engine for RAG and agents
Engine WFGY 3.0 TXT based Singularity tension engine, 131 S class set
Map Problem Map 1.0 Flagship 16 problem RAG failure checklist and fix map
Map Problem Map 2.0 RAG focused recovery pipeline
Map Problem Map 3.0 Global Debug Card, image as a debug protocol layer
Map Semantic Clinic Symptom to family to exact fix
Map Grandma’s Clinic Plain language stories mapped to Problem Map 1.0
Onboarding Starter Village Guided tour for newcomers
App TXT OS TXT semantic OS, fast boot
App Blah Blah Blah Abstract and paradox Q and A built on TXT OS
App Blur Blur Blur Text to image with semantic control
App Blow Blow Blow Reasoning game engine and memory demo

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