Zero Trust Engineering — Data domain and ownership model

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Data and information protection engineering reference for data domain and ownership model, including policy, logical interfaces, recovery and assurance.

Purpose: Data domain and ownership model. Domain: Data and information protection. Family: governance. Scenario trigger: Establish accountable information domain or owner assignment. Input assurance: Business definitions, legal controller and system-of-record context. Evaluation: Evaluate stewardship responsibility and cross-domain boundaries. Governing policy: Data ownership, accountability and stewardship policy. Resource-side obligation: Enforce named authority for data handling decisions. Protected concern: Enterprise information domain registry. Logical interface: Information domain data owner steward authority and delegation. Evidence: Owner attribution exception and governance review trail. Failure: Ambiguous ownership or overlapping decision rights. Required recovery: Resolve ownership conflict before publishing data products. Architectural invariant: Protected information requires accountable ownership across copies Adoption: replace reference roles with concrete owner-controlled services. Specify exact provider/consumer identities, schema fields and classifications, signal provenance and freshness, idempotency, authorization lifetime, timeout/retry limits, observation and tamper evidence. A denied or failed operation must not silently become a permitted one. Scope: original vendor-neutral, implementation-agnostic technical reference model. Illustrative logical components and behaviors are neither a deployed system nor evidence of regulatory compliance. Package identities remain stable within the package; cross-package semantic reconciliation requires separate explicit registry support.

Curated · other · unspecified · Published by Lattix · 29 elements · 34 relationships · validated on publish