Zero Trust Engineering — Information usage audit and decision evidence
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/02 About
Data and information protection engineering reference for information usage audit and decision evidence, including policy, logical interfaces, recovery and assurance.
Purpose: Information usage audit and decision evidence. Domain: Data and information protection. Family: assurance. Scenario trigger: Observe sensitive information access or transformation. Input assurance: Identity, data object lineage, classification and decision correlation. Evaluation: Validate information usage events and obligation completion. Governing policy: Data event completeness, integrity and minimization policy. Resource-side obligation: Publish tamper-evident usage and policy-conformance trail. Protected concern: Enterprise information assurance repository. Logical interface: Object access ID principal action policy version outcome and provenance. Evidence: Data operation actor decision transform and evidence lineage. Failure: Unattributed read, missing audit event or spoofed evidence. Required recovery: Quarantine dubious events and independently reconstruct audit lineage. Architectural invariant: Information usage audits must prove the enforced decision without exposing secret content 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
/03 Contents
- Capability
- Data and information protection, Information usage audit and decision evidence
- Role
- Data and information protection owner
- Business Actor
- Security telemetry or evidence producer
- Activity
- Observe sensitive information access or transformation, Verify: Identity, data object lineage, classification and decision correlation, Assess: Validate information usage events and obligation completion, Execute: Publish tamper-evident usage and policy-conformance trail, Exception: Unattributed read, missing audit event or spoofed evidence, Recover: Quarantine dubious events and independently reconstruct audit lineage, Verify and disposition finding
- Application Component
- Identity, data object lineage, classification and decision correlation, Validate information usage events and obligation completion, Publish tamper-evident usage and policy-conformance trail, Authenticated observation source, Detection and evidence correlation
- Application
- Enterprise information assurance repository
- Policy
- Data event completeness, integrity and minimization policy
- API
- Information usage audit and decision evidence logical interface
- Message/Event Schema
- Object access ID principal action policy version outcome and provenance
- Data Store
- Data operation actor decision transform and evidence lineage, Versioned technical finding
- Control
- Information usage audit and decision evidence enforcement assurance
- Risk
- Unattributed read, missing audit event or spoofed evidence risk
- Requirement
- Information usage audits must prove the enforced decision without exposing secret content
- Measure
- Information usage audit and decision evidence assurance completeness
- Trust Boundary
- Information usage audit and decision evidence authority boundary
- State
- Control condition verified, Control gap or untrusted signal