Zero Trust Engineering — Information lineage and derived data policy

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Data and information protection engineering reference for information lineage and derived data policy, including policy, logical interfaces, recovery and assurance.

Purpose: Information lineage and derived data policy. Domain: Data and information protection. Family: assurance. Scenario trigger: Create derived data product from protected information. Input assurance: Source object provenance, transformation graph and inherited obligations. Evaluation: Resolve effective policy on derived information and aggregates. Governing policy: Lineage retention, policy inheritance and declassification policy. Resource-side obligation: Propagate required labels and restrict unauthorized derivatives. Protected concern: Derived enterprise information products. Logical interface: Source IDs transformation graph inherited labels derivative provenance. Evidence: Source-to-derivative lineage tags and protection decision. Failure: Unknown source lineage or illicit classification downgrade. Required recovery: Withhold derived product and reconstruct provenance. Architectural invariant: Derived outputs may not evade applicable source-data obligations 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 · 33 relationships · validated on publish