Zero Trust Engineering — Enforcement-state reconciliation

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Automation and orchestration engineering reference for enforcement-state reconciliation, including policy, logical interfaces, recovery and assurance.

Purpose: Enforcement-state reconciliation. Domain: Automation and orchestration. Family: assurance. Scenario trigger: Compare actual enforcement configuration with policy intent. Input assurance: Desired rules, installed state and enforcer acknowledgement. Evaluation: Identify drift, missing obligations and partial rollout. Governing policy: Enforcement reconciliation and exception escalation policy. Resource-side obligation: Reapply authorized rules and signal nonconformance. Protected concern: Distributed application, device and network enforcement. Logical interface: Policy hash enforcement target observed state variance and timestamp. Evidence: Desired versus observed state diff and remediation trace. Failure: Silent policy bypass, unacknowledged drift or outdated rule. Required recovery: Restrict nonconforming path and force safe resync. Architectural invariant: Approved policy alone does not prove that enforcement is active 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