WFGY/ProblemMap/GlobalFixMap/Enterprise_Knowledge_Gov/compliance_audit.md
2025-08-28 22:17:19 +08:00

6.9 KiB

Compliance Audit — Enterprise Knowledge Governance

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

  1. Enforce snippet schema:
    Each retrieval must return doc_id, section_id, offsets, tokens, expiry_date.

  2. Log ΔS and λ per step:
    Store values for retrieval, assembly, reasoning.

  3. 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).

<div align="center">

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