Architecture 24 — Global Data Governance & Privacy Fabric

Reference Architecture Diagram + Narrative (classify → control → consent → prove)

                           ┌─────────────────────────────────────────────┐
                           │              DATA UNIVERSE                  │
 Sources: Apps/APIs | SaaS | Lakehouse | Streams | OT/IoT | Voice/Text   │
                           └───────────────┬───────────────┬─────────────┘
                                           │               │
                                           ▼               ▼
          ┌────────────────────────────────────────────────────────────────┐
          │         DISCOVERY & CLASSIFICATION (continuous, agent+API)     │
          │  • Scanners: db/obj/files/stream schemas  • NLP for PII/PHI/PCI │
          │  • Classifiers & labels (public/int/conf) • Data lineage hooks  │
          └───────────────┬─────────────────────────────┬──────────────────┘
                          │                             │
                          ▼                             ▼
   ┌─────────────────────────────────────┐    ┌───────────────────────────────────┐
   │  GOVERNANCE CATALOG & POLICY ENGINE │    │  CONSENT / RIGHTS OPS (DSAR/CP)  │
   │  • Glossary, owners, SLAs           │    │  • Consent store (purpose, ttl)  │
   │  • Policies (OPA/Rego): residency,  │    │  • DSAR orchestration (search,   │
   │    retention, masking, access       │    │    extract, redact, deliver)     │
   └───────────────┬─────────────────────┘    └──────────────┬───────────────────┘
                   │                                          │
                   ▼                                          ▼
     ┌─────────────────────────────────┐      ┌──────────────────────────────────┐
     │  ENFORCEMENT FABRIC (inline/API)│      │  TRUST SERVICES (CUSTODY)        │
     │  • DLP (inline & SaaS API)      │      │  • HSM/KMS/PKI (keys, tokens)    │
     │  • Tokenize/mask/pseudonymize   │      │  • WORM store (legal holds)       │
     │  • Row/col-level security (ABAC)│      │  • Sign/attest lineage changes    │
     └───────────────┬─────────────────┘      └──────────────────┬────────────────┘
                     │                                           │
                     ▼                                           ▼
     ┌─────────────────────────────────┐       ┌─────────────────────────────────┐
     │  ACCESS & SHARE BROKERS        │       │  EVIDENCE & REPORTING           │
     │  • API GW / brokered sharing   │       │  • GRC dashboards (GDPR/CCPA,   │
     │  • Contracted datasets (SLAs)  │       │    HIPAA, PCI, CJIS, ISO, SOC2) │
     │  • Partner allow-lists/tenancy │       │  • Audit packs (immutable)      │
     └─────────────────────────────────┘       └─────────────────────────────────┘

 Telemetry & Ops ──► SIEM/SOAR (exfil/leak) • AIOps (drift) • ITSM/CMDB (owners/changes)

Narrative (how meaning is governed, privacy is honored, and proof is produced)

1) Purpose & posture

  • Objective: Create a cross-domain fabric that discovers, classifies, governs, and enforces data policy everywhere—while capturing consent, fulfilling data-subject rights, and proving compliance on demand.
  • Posture: Policy-as-code, data-first controls, identity-aware access, immutable evidence.

2) Discovery & classification (syntax of what exists)

  • Continuous scanners (agents + APIs) index databases, object stores, files, streams, voice/text.
  • NLP/regex classifiers detect PII/PHI/PCI and sector tags; outputs become labels that follow data through lineage.

3) Catalog & policy (semantics of what it means)

  • Central governance catalog maps business glossary → technical assets → owners → SLAs.
  • OPA/Rego policies encode residency, retention, masking, access/ABAC, and purpose limits; versioned and testable.

4) Enforcement (law in motion)

  • DLP inline (network/SASE) and SaaS/API mode (email/drive/chat).
  • Tokenization/masking/pseudonymization at read or ingest; row/column-level security enforced by ABAC attributes (user, role, purpose, region).
  • Controls bind to apps, BI, ML, APIs through sidecars, UDFs, or gateways.

5) Consent & rights ops (pragmatics for people)

  • Consent store records purpose, scope, TTL, provenance per subject.
  • DSAR orchestration (GDPR/CPRA): search → collect → redact → deliver; generates immutable evidence and deadlines.
  • Preference signals (opt-in/out) push into CDPs, marketing, and analytics.

6) Custody & evidence (the memory of law)

  • HSM/KMS/PKI guard keys and tokens; WORM holds legal snapshots, policy versions, consent records, and DSAR packets.
  • Every lineage/policy change is signed/attested and queryable.

7) Access & sharing (safe collaboration)

  • API gateways/brokers expose contracted datasets with SLAs, quotas, schemas, and partner allow-lists.
  • Tenant isolation and purpose-bound tokens keep exchanges within lawful context.

8) Operations & detection

  • SIEM/SOAR correlates exfil/leak signals; playbooks revoke tokens, mask on the fly, page owners, open ITSM.
  • AIOps watches policy drift, stale labels, and orphaned datasets; nudges owners to remediate.

Reference KPIs

  • Classification coverage: ≥98% of in-scope assets labeled within 24h
  • DSAR SLA: 100% responses within legal window (e.g., ≤30 days)
  • Consent sync latency: <5 min to all downstream processors
  • Policy conformity: >98% (residency/retention/masking)
  • Exfil MTTR: ≤1 h; False sharing blocks: <1% (tuned)

Minimal BOM (aligned with prior stack)

Discovery/classification scanners (db/obj/files/streams/voice), Lineage/catal og, OPA/Rego policy engine, DLP (inline + SaaS API), Tokenization/Masking/Pseudonymization services, ABAC/RLS controls, Consent/DSAR orchestration, HSM/KMS/PKI, WORM evidence store, API gateway/broker, SIEM/SOAR, AIOps, ITSM/CMDB, GRC dashboards.