Zero Trust Engineering — Policy decision caching and freshness

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Automation and orchestration engineering reference for policy decision caching and freshness, including policy, logical interfaces, recovery and assurance.

Purpose: Policy decision caching and freshness. Domain: Automation and orchestration. Family: resilience. Scenario trigger: Reuse previously authorized decision under service constraints. Input assurance: Cache key, identity binding, policy version and grant expiration. Evaluation: Validate decision relevance and revocation state. Governing policy: Cached authorization lease, freshness and negative cache policy. Resource-side obligation: Serve only bounded cached decision or deny unsupported use. Protected concern: Local authorization cache and protected resource path. Logical interface: Decision cache key principal object action context policy expiry and revoke. Evidence: Cache hit policy lineage grant age and revocation evidence. Failure: Stale positive grant or cache key collision. Required recovery: Invalidate suspect grant and perform fresh trusted evaluation. Architectural invariant: Cache availability does not create authorization beyond lease and scope 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