Zero Trust Engineering — Metadata, tags and attribute provenance

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Data and information protection engineering reference for metadata, tags and attribute provenance, including policy, logical interfaces, recovery and assurance.

Purpose: Metadata, tags and attribute provenance. Domain: Data and information protection. Family: assurance. Scenario trigger: Receive information labeling or metadata update. Input assurance: Label issuer identity, source lineage and signed tag claims. Evaluation: Verify metadata trust, freshness and conflict resolution. Governing policy: Trusted attribute issuance, inheritance and merge policy. Resource-side obligation: Publish versioned verified information attributes. Protected concern: Enterprise metadata and policy information services. Logical interface: Tag key value issuer inheritance revision validity and confidence. Evidence: Tag source provenance modification history and verification. Failure: Tag removal, spoofing or disputed inherited label. Required recovery: Reject untrusted metadata and reconcile authoritative lineage. Architectural invariant: Data security decisions require labels with verifiable provenance 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