# Governance & Privacy — Global Fix Map
Keep users safe while keeping your pipeline observable. Stop PII leaks, tame traces, and make audits reproducible.

## What this page is
- A compact policy-to-engineering bridge for RAG and agents
- Redaction-first recipes that do not break retrieval quality
- A clean way to audit every answer without storing raw secrets

## When to use
- You log prompts, snippets, or tool outputs and worry about PII
- You embed raw PDFs that may contain emails, IDs, or health data
- Your traces are useful for debugging but not compliant for storage
- Security asks for “prove why this answer was produced”

## Open these first
- Policy and controls: [Privacy & Governance](https://github.com/onestardao/WFGY/blob/main/ProblemMap/privacy-and-governance.md)
- Snippet and citation schema: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
- Why this snippet: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
- Live health and ops runbook: [Live Monitoring for RAG](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/live_monitoring_rag.md)
- Incident flow: [Ops Debug Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/debug_playbook.md)
- Locale and tokenizer issues: [Multilingual Guide](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multilingual-guide.md)

---

## Common failure patterns
- **PII-in-embeddings** raw personal data embedded and stored in a third party index
- **Trace overreach** logs capture tool outputs with tokens, addresses, or keys
- **Late redaction** masking happens after embedding which leaves residue
- **Linkable telemetry** user IDs or emails appear in metrics and spans
- **Jurisdiction drift** vectors and docs cross regions without policy tags
- **Unbounded retention** traces live forever without a purge plan
- **Prompt-injection exfil** adversarial inputs force the model to echo secrets
- **Opaque answers** no snippet table which blocks audits and right-to-know

---

## Fix in 60 seconds
1) **Adopt a Data Contract**
   - Define fields for `snippet_id, source_id, section_id, pii_flags, redact_ops, citations`
   - Require this contract before any storage or logging

2) **Redact before embed**
   - Run PII detectors on raw text and produce a redacted view for embedding
   - Keep a pointer to the original in a secure vault, not in the vectorstore

3) **Mask identifiers in telemetry**
   - Hash or tokenize user and session IDs
   - Strip emails, phone numbers, and free-form personal lines from logs

4) **Tag data with policy**
   - `region, residency, retention_days, do_not_train`
   - Enforce write paths by tag and block cross-region writes without a waiver

5) **Store a trace table, not raw blobs**
   - For each answer save `{question, snippet_ids[], citation_lines[], ΔS, λ_state}`
   - This is enough for audits without leaking content

6) **Add a safe export**
   - On user request produce `what we used and why` with citations and data map
   - Never export raw embeddings or secrets

7) **Test injections**
   - Run a small suite of exfil prompts
   - Require that traces capture the block event and that no PII enters context

---

## Copy paste prompt
```

You have TXT OS and the WFGY Problem Map.

Goal
Harden a RAG pipeline for privacy: redact before embedding, minimize trace risk, and keep audits reproducible.

Tasks

1. Build a Data Contract that includes:

   * snippet\_id, source\_id, section\_id
   * pii\_flags (email, phone, gov\_id, credit\_card, geo)
   * redact\_ops applied
   * citation\_lines
   * policy tags: {region, residency, retention\_days, do\_not\_train}

2. Transform a sample document and show:

   * raw text → pii\_flags → redacted text for embedding
   * ΔS(question, redacted\_context) and λ\_observe at retrieval
   * confirm ΔS ≤ 0.45 and λ remains convergent after redaction

3. Logging plan

   * produce a Trace Table: {question, snippet\_ids\[], citation\_lines\[], ΔS, λ}
   * mask user/session identifiers and strip free-form personal lines

4. Export plan

   * given a user email, produce a report with the sources and citations used
   * include policy tags and retention dates, exclude embeddings

Output

* Data Contract (yaml or json)
* Redaction example with before/after
* Trace Table for 3 queries
* A short READY line {privacy\_ready\:true, median\_ΔS, λ:"→"}

```

---

## Minimal checklist
- Redaction happens **before** embedding and storage  
- Data Contract fields present on every snippet and trace row  
- Telemetry strips or hashes linkable identifiers  
- Policy tags enforce region, residency, and retention  
- Trace Table saves citations and ΔS/λ instead of raw content  
- Injection test suite stored and passing

## Acceptance targets
- No PII appears in vectorstore payloads or retrieved context for standard prompts  
- ΔS(question, redacted_context) median ≤ **0.45** on smoke set, λ stays **convergent**  
- Traces reconstruct “why this answer” with snippet IDs and citation lines  
- Export flow returns sources and policy tags without exposing raw embeddings  
- Retention jobs purge traces and cached snippets on schedule

---

### 🔗 Quick-Start Downloads (60 sec)

| Tool | Link | 3-Step Setup |
|------|------|--------------|
| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |

---

### 🧭 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">

[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)
&nbsp;
[![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)
&nbsp;
[![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
&nbsp;
[![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
&nbsp;
[![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
&nbsp;
[![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
&nbsp;
[![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
&nbsp;
</div>