๐Ÿ“š Data Governance

Clear Ownership, Strong Controls, Trusted Data โ€” With Evidence

Data Governance makes data discoverable, usable, secure, and compliantโ€”so teams ship faster with fewer surprises and auditors get proof on demand.
SolveForce implements governance as a system across catalog, lineage, quality, privacy, contracts, access, and retentionโ€”wired to Zero Trust, DLP, and SIEM/SOARโ€”from streaming to warehouse to AI.

Connective tissue:
๐Ÿง  AI & RAG โ†’ /solveforce-ai โ€ข ๐Ÿ“š Standardization โ†’ /ai-knowledge-standardization
๐Ÿ›๏ธ Warehouse/Lake โ†’ /data-warehouse โ€ข ๐Ÿ”„ Pipelines โ†’ /etl-elt
๐Ÿ” Privacy & egress โ†’ /dlp โ€ข ๐Ÿ”‘ Keys โ†’ /key-management โ€ข ๐Ÿ—๏ธ Secrets โ†’ /secrets-management โ€ข ๐Ÿ”’ Crypto โ†’ /encryption
๐Ÿ‘ค Identity โ†’ /iam โ€ข ๐Ÿ›ก๏ธ Security โ†’ /cybersecurity โ€ข ๐Ÿ“Š Evidence/Automation โ†’ /siem-soar
โ˜๏ธ Platform โ†’ /cloud โ€ข ๐Ÿ–ง Fabric โ†’ /networks-and-data-centers


๐ŸŽฏ Outcomes (Why SolveForce Governance)

  • Trust at first use โ€” clear owners, SLAs/SLOs, definitions, and lineage for every dataset.
  • Less rework โ€” data contracts and schema tests catch breakages before they ship.
  • Safer by default โ€” labels (PII/PHI/PAN/CUI), DLP, tokenization, and keys in HSM keep data lawful.
  • AI-ready โ€” curated, cited sources with access controls for guarded RAG and model pipelines.
  • Evidence on demand โ€” policy decisions, changes, and access logs exported to SIEM with WORM options.

๐Ÿงญ Scope (What We Govern)

  • Catalog & glossary โ€” business definitions, owners, SLOs, classification, sensitivity, and tags.
  • Lineage โ€” column-level from source โ†’ pipeline โ†’ warehouse/lake โ†’ marts โ†’ AI features.
  • Data contracts โ€” schemas & SLAs for producers; schema registry (Avro/Protobuf/JSON) with compatibility rules.
  • Quality โ€” tests (nulls, ranges, uniqueness, PK/FK), metric parity, drift checks; break builds on critical failures.
  • Access & privacy โ€” ABAC/RBAC via IAM/SSO/MFA, labels (PII/PHI/PAN/CUI), tokenization, masking, and DLP.
  • Retention & legal โ€” records schedules, legal holds, deletion workflows, immutable archives.
  • Residency & sovereignty โ€” region-bound storage & compute, cross-border policies, routing guards.
  • Streaming governance โ€” topic taxonomy, retention/compaction, schema & PII controls, consumer ACLs.
  • AI/ML governance โ€” feature store lineage, model cards, data/label provenance, RAG โ€œcite-or-refuseโ€ enforcement.
  • Reference/MDM โ€” golden records, survivorship rules, match/merge, and change audit.

๐Ÿงฑ Building Blocks (Spelled Out)

  • Catalog & Glossary-as-Code
  • Terms & owners versioned in Git; PRs for changes; API-first updates; surfaced in BI and Notebooks.
  • Lineage Everywhere
  • Auto-capture from pipelines (dbt/Spark/Kafka/ELT), manual joins for edge tools; push to catalog and dashboards.
  • Contracts & Registry
  • –compatibility=BACKWARD (or stricter) on schemas; required data types/units/time zones; producer CI checks.
  • Quality Gates
  • Great Expectations/dbt tests at landing, transform, serve; quarantine lanes; policy-as-code denies promotion.
  • Labels & Controls
  • Classification tiers: Public / Internal / Confidential / Restricted + data classes (PII/PHI/PAN/CUI).
  • Enforcement: dynamic masking, row/column security, tokenization, DLP egress rules. โ†’ /dlp
  • Access & Identity
  • SSO/MFA & groups map to catalog roles; short-lived credentials; approvals and least privilege by domain. โ†’ /iam
  • Keys, Crypto, Secrets
  • CMK/HSM custody (KMIP), envelope encryption, rotation/quorum; app secrets in vault, not in code.
    โ†’ /key-management โ€ข /encryption โ€ข /secrets-management
  • Observability & Evidence
  • Freshness, lineage coverage, DQ pass rates, access decisions, PII scans; exports to SIEM/SOAR with WORM. โ†’ /siem-soar

๐Ÿงฐ Reference Patterns (Pick Your Fit)

A) Regulated Analytics (HIPAA/PCI/GDPR)

  • Tokenize PAN/PII; PHI labeled & masked; region-bound stores; DLP egress blocks; immutable audit & backups.

B) Operational Data Products / Data Mesh

  • Domain-owned tables with contracts; shared glossary; cross-domain SLAs; cost per data product tracked.

C) Streaming Governance (Kafka/Events)

  • Topic naming standards, retention/compaction policies, schema registry enforced, PII redaction at edge, consumer ACLs & quotas.

D) AI & RAG Governance

  • Curated sources โ†’ embeddings; label filters before ANN search; answers require citations or refusal; model cards + training data lineage.
    โ†’ /vector-databases โ€ข /solveforce-ai

E) Cross-Border & Residency

  • Region sibling datasets; ETL replication rules; access broker enforces geo/tenant; legal-hold aware deletion.

๐Ÿ“ SLO Guardrails (Measure What Matters)

SLO / KPITarget (Recommended)
Freshness (curated tables)โ‰ค 15โ€“60 min (hot), per domain agreed
Data quality pass rateโ‰ฅ 99% tests green per run
Lineage coverage (curated)โ‰ฅ 95% column-level
PII/PHI labeling coverage= 100% of new/changed datasets
Contract compatibility violations= 0 in prod (blocked in CI)
Access decision latency (p95)โ‰ค 100โ€“300 ms
Subject-rights request SLA (privacy)โ‰ค 30 days (or stricter by policy)
Evidence completeness (audits/IR)= 100% (logs, approvals, artifacts)

SLO breaches open tickets and trigger SOAR playbooks (rollback schema, quarantine dataset, revoke access, re-run jobs). โ†’ /siem-soar


๐Ÿ”’ Compliance Mapping (Examples)

  • HIPAA / 42 CFR Part 2 โ€” labels + masking, minimum necessary, immutable logs/backups, access audit.
  • PCI DSS โ€” tokenization, key custody in HSM, WAF/Bot for APIs, DLP on egress, CDE segmentation.
  • GDPR/CCPA โ€” lawful basis, residency, DSR workflows (access/erasure), data minimization.
  • SOX / ISO 27001 / SOC 2 โ€” change control, access, logging, incident & DR evidence.
  • FedRAMP / CJIS / NIST 800-53/171 โ€” AC/IA/AU/SC/CM families aligned; continuous monitoring to SIEM.

๐Ÿ“Š Operating Model (People, Process, Tech)

  • Stewards & Owners โ€” every table has a steward (SLAs/SLOs) and a product owner (roadmap, budget).
  • Policy-as-Code โ€” tagging, access, residency, retention, and schema rules validated in CI/CD.
  • Backlog & Reviews โ€” monthly DQ/lineage reviews; quarterly privacy & residency reviews; publish wins & RCAs.
  • Unit Economics โ€” $/TB scanned, $/1k queries, $/data product; visible in FinOps. โ†’ /finops

๐Ÿ› ๏ธ Implementation Blueprint (No-Surprise Rollout)

1) Define domains & protect surface โ€” data products, sensitivity, residency; business glossary & owners.
2) Stand up catalog & lineage โ€” connect sources/pipelines; capture column-level; publish SLOs.
3) Contracts & registry โ€” schemas in Git + registry; CI gates for compatibility & PII scans.
4) Quality & quarantine lanes โ€” tests at landing/transform/serve; break builds on red; auto-quarantine.
5) Access & privacy โ€” ABAC/RBAC; masking/tokenization; DLP egress; approvals audit.
6) Retention & legal โ€” records schedules, legal hold, deletion workflows; immutable archives.
7) Observability & SIEM โ€” freshness/DQ/lineage/labels/decisions on dashboards; export evidence to SIEM/SOAR.
8) AI guardrails โ€” curated sources โ†’ vector DBs; cite-or-refuse; model cards & data lineage.
9) Operate & improve โ€” monthly SLO & privacy reviews; quarterly contract & cost reviews; publish RCAs.


โœ… Pre-Engagement Checklist

  • ๐Ÿ“š Domain list, data products, owners, SLOs & SLAs.
  • ๐Ÿงพ Regulatory scope (HIPAA/PCI/GDPR/etc.), residency constraints, retention schedules.
  • ๐Ÿงช Testing posture (DQ tests today), schema registry needs, quarantine lanes.
  • ๐Ÿ” Access model (SSO/MFA, ABAC/RBAC), masking/tokenization, DLP policies.
  • ๐Ÿ”‘ Key custody (KMS/HSM), secret posture, encryption standards.
  • โ˜๏ธ Warehouse/lake platforms, pipeline tools, streaming tech, catalog/lineage stack.
  • ๐Ÿ“Š SIEM/SOAR destinations; evidence format; reporting cadence; incident playbooks.
  • ๐Ÿ’ธ FinOps integration (budget guardrails, $/TB scanned).

๐Ÿ”„ Where Data Governance Fits (Recursive View)

1) Grammar โ€” data rides /connectivity & /networks-and-data-centers.
2) Syntax โ€” curated truth lives in /data-warehouse via /etl-elt.
3) Semantics โ€” /cybersecurity + /dlp preserve privacy & integrity.
4) Pragmatics โ€” /solveforce-ai consumes governed truth with citations and guardrails.
5) Foundation โ€” shared language via /ai-knowledge-standardization and the Codex.
6) Map โ€” indexed across the /solveforce-codex & /knowledge-hub.


๐Ÿ“ž Govern Data That People Trustโ€”and Auditors Approve