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Compliance Audit — Enterprise Knowledge Governance
🧭 Quick Return to Map
You are in a sub-page of Enterprise_Knowledge_Gov.
To reorient, go back here:
- Enterprise_Knowledge_Gov — corporate knowledge management and governance
- WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
- WFGY Problem Map 1.0 — 16 reproducible failure modes
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 patterns to enforce compliance-ready audits in AI pipelines.
Use this page when enterprise policies or regulators require auditability, traceability, and repeatable evidence for AI knowledge usage.
When to use this page
- Internal or external auditors require proof of AI outputs.
- You need to show exactly which documents were cited and how they were retrieved.
- Enterprise standards mandate compliance trails (ISO, SOC2, GDPR, HIPAA, etc).
- Users ask "why did the model say this?" and you must replay the answer deterministically.
Core acceptance targets
- Every AI output must be linked to retrieval evidence (doc_id, section_id, offsets).
- ΔS(question,retrieved) logged per query, with thresholds verified.
- λ_observe states stored for all runs (paraphrase, rerun, seeds).
- Full audit trail exportable (JSON, CSV, signed logs).
Typical audit failures → exact fix
| Symptom | Likely cause | Open this |
|---|---|---|
| Missing or inconsistent citations | No schema enforcement on retrieval | retrieval-traceability.md |
| Evidence cannot be reproduced | No deterministic ΔS/λ logs | retrieval-playbook.md |
| Multiple outputs differ for same input | λ flips or entropy collapse | context-drift.md, entropy-collapse.md |
| No visibility into expired docs | Missing expiry field in audit logs | knowledge_expiry.md |
| Incomplete audit trails | Storage not aligned to contracts | data-contracts.md |
Fix in 60 seconds
-
Enforce snippet schema:
Each retrieval must returndoc_id,section_id,offsets,tokens,expiry_date. -
Log ΔS and λ per step:
Store values for retrieval, assembly, reasoning. -
Export audit logs:
JSON or CSV export at end of run.
Example:{ "question": "What is policy X?", "ΔS": 0.38, "λ": "→", "citations": ["doc123#section5"], "timestamp": "2025-08-28T12:34:00Z" }
4. **Replay capability**:
Store retriever seed + config for deterministic reruns.
---
## Copy-paste compliance probe
```txt
You have TXTOS and WFGY Problem Map loaded.
My compliance audit requirement:
- Audit log must contain {ΔS, λ_state, citations, expiry_flag}
- Logs must be exportable to JSON/CSV
Task:
1. Verify schema presence in retrieval.
2. Re-run with same seed and compare logs.
3. If mismatch, cite the exact WFGY page that explains the fix.
```
---
## Escalate when
* Audit log missing ΔS or λ.
* Same seed replay yields different citations.
* Expired documents appear in logs as valid.
Escalation fix: apply [ops/debug\_playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/debug_playbook.md) and [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) to enforce deterministic ordering.
---
### 🧭 Explore More
| Module | Description | Link |
| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
---
> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
> Engineers, hackers, and open source builders who supported WFGY from day one.
> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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