Zero Trust Engineering — Classification and sensitivity taxonomy

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Data and information protection engineering reference for classification and sensitivity taxonomy, including policy, logical interfaces, recovery and assurance.

Purpose: Classification and sensitivity taxonomy. Domain: Data and information protection. Family: lifecycle. Scenario trigger: Classify newly created or discovered information. Input assurance: Content signals, business sensitivity and legal obligations. Evaluation: Map information to governed classifications and confidence. Governing policy: Classification precedence, override and review policy. Resource-side obligation: Apply authoritative handling class to information object. Protected concern: Enterprise records and content classification service. Logical interface: Object class confidence source labels obligations and time. Evidence: Classification rationale label version and owner decision. Failure: Misclassification or unsupported sensitivity override. Required recovery: Require owner review and restrict disclosure pending classification. Architectural invariant: A lower-trust system may not downgrade authoritative classification 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