Enterprise Knowledge Governance — Global Fix Map

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WFGY Global Fix Map — main Emergency Room, 300+ structured fixes

WFGY Problem Map 1.0 — 16 reproducible failure modes

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A compact hub to keep enterprise knowledge safe, auditable, and policy-true across RAG, agents, and long-running workflows.
Use this folder to define the policy layer and route symptoms to the exact repair page. No infra change required.

What this folder is

A minimal but complete policy layer for RAG and agent stacks.
Guardrails that prevent leakage and region violations.
Copy-paste contracts for tagging, retrieval fences, and audits.
Acceptance targets you can actually measure on live traffic.

When to use this folder

You have mixed-sensitivity corpora and must stop accidental leakage.
Regional data residency is a contract requirement.
Stale SOPs or outdated policies keep showing up in answers.
Legal retention vs developer convenience keeps drifting.
You need verifiable access trails and regulator-ready exports.

Orientation: pages and what they solve

Page	What it solves	Typical symptom
access_control.md	Role, tenant, region, sensitivity intersections at retrieval time	Answer cites a snippet the user cannot see
audit_and_traceability.md	Immutable trails for who asked, what was cited, why it was allowed	Regulator asks for proof and you cannot produce it
compliance.md	End-to-end policy surface and controls	Policy defined in docs but not enforced in code
compliance_audit.md	Audit checklists and export packs	You cannot prove who accessed PII last quarter
data_residency.md	Region pinning for shards, embeddings, logs	Cross-region egress appears in billing or logs
data_sensitivity.md	Sensitivity model and redaction gates	PII or secrets slip through after parsing
knowledge_expiry.md	Freshness and deprecation workflow	Bot answers with outdated SOP or revoked policy
retention_policy.md	TTL queues, deletion attestations, proof of purge	Items that should be gone still show up in runs

Acceptance targets

Zero unauthorized citation of PII or restricted snippets in production evals
Policy tags present on ≥ 0.95 of onboarded documents
Residency violations equal 0 across seven days of traffic
Retention SLA respected for 100 percent of expired items inside 24 hours
Every answer carries a trace with citations, ΔS, λ_state, policy_eval

Map symptoms → structural fixes

Symptom	Open this
Wrong snippet shows up from a restricted area	retrieval-traceability.md · data-contracts.md
Prompt or tool bypasses policy and leaks PII	prompt-injection.md · lock tool args in data-contracts.md
Sensitive text survives parsing and chunking	chunking-checklist.md · ocr-parsing-checklist.md
Live runs drift from policy or regions	ops/live_monitoring_rag.md · ops/debug_playbook.md

60-second setup checklist

Tag the corpus
Attach sensitivity, region, owner, retention_tier to every doc. Enforce schema with data-contracts.md.
Fence retrieval
Require the intersection of {tenant_id, role, region, sensitivity} at retrieve time and drop non-matching snippets. Verify with retrieval-traceability.md.
Pin residency
Keep embeddings and shards in the source region. Block cross-region egress unless policy allows. See data_residency.md.
Retention jobs
Create TTL queues per retention_tier. Write a deletion log with doc_id, hash, time, actor. See retention_policy.md.
Audit everything
Emit actor, question, citations, ΔS, λ_state, policy_eval, region for each answer. Route to an immutable sink. See audit_and_traceability.md.

Copy-paste policy probe for your LLM step

You have TXT OS and WFGY pages loaded.

Question: "{user_question}"
Context carries fields {sensitivity, region, retention_tier, owner} for each snippet.

Do:
1) Enforce cite-then-explain. Refuse if a cited snippet breaks role or region.
2) Return {"citations":[...], "policy_eval":{"allow":true|false,"reason":"..."}, "ΔS":0.xx, "λ_state":"→|←|<>|×"}.
3) If blocked, output the smallest change to comply and the exact WFGY page to open.

FAQ

Q: We tag sensitivity at ingest but leaks still happen. What now? A: Enforce the tag at retrieve time too. Use access intersections {tenant_id, role, region, sensitivity} and verify with retrieval-traceability.md.

Q: Our vendor requires EU residency. How do we prove compliance? A: Pin vectors, shards, and logs to EU regions and export an egress report weekly. Steps in data_residency.md.

Q: Outdated SOPs keep showing up. Where is the crack? A: You need a freshness control. Mark deprecated docs and enforce a deny-list at retrieval. See knowledge_expiry.md.

Q: Legal wants proof of deletion after TTL. A: Implement TTL queues and write deletion attestations to an immutable sink. Details in retention_policy.md.

Q: We cannot reconstruct who saw which PII last quarter. A: Add the audit contract from audit_and_traceability.md. Every answer should log actor, citations, ΔS, λ_state, policy_eval, region.

Q: Prompt injection bypassed our fences. A: Tighten tool schemas and add role-ordered templates. See prompt_injection.md and the contracts in data-contracts.md.

Q: Coverage is high but restricted snippets sometimes get ranked. A: Coverage is not policy. Add policy_eval to the trace and drop candidates before rerank. Use access_control.md.

Q: How do we set pass or fail before release? A: Use a governance gate: zero restricted citations, zero residency violations, coverage ≥ 0.70, ΔS ≤ 0.45, and audit completeness 100 percent for a 7-day canary.

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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