Data boundaries
Define what data may enter, where it may move, who may use it, how long it remains, and what evidence survives the interaction.
- Location & movement
- Retention & deletion
- Provenance & lineage
Trust & assurance
Security, evaluation, data boundaries, deployment, evidence, and recovery are designed with the system—not attached after it.
Assurance domains
The applicable controls depend on the workload, environment, and risk. The responsibility to make those choices explicit does not.
Define what data may enter, where it may move, who may use it, how long it remains, and what evidence survives the interaction.
Make human, service, agent, tool, and device identities distinct, scoped, revocable, and observable across every delegation boundary.
Connect acceptance criteria to representative workloads, failure behaviour, regressions, and the conditions required to advance a release claim.
Treat source, dependencies, build inputs, artifacts, configuration, deployment, and update paths as one verifiable delivery system.
Design traces, metrics, decisions, audit records, and ownership so operators can understand what happened and why.
Plan degradation, containment, rollback, restoration, and learning before the system reaches the moment that demands them.
Evidence ladder
A property is part of the architecture or design objective. It has not yet been demonstrated.
The mechanism exists and can be inspected, but its claim remains bounded by current testing.
Defined evidence supports the claim within a stated workload, environment, and version.
Production behaviour, ownership, incidents, and change history provide continuing evidence.
Deployment models
These are architecture models, not universal availability claims. Technology, support, compliance, and operating responsibility are confirmed for each system.
System boundaryCustomer-owned cloud account or tenant
ControlCustomer identity, network, keys, and policy
OperationShared or customer-led, defined per system
Typical fitEnterprise integration and governed AI workloads
System boundaryCustomer-controlled infrastructure
ControlLocal identity and data plane
OperationRunbooks and ownership aligned to the environment
Typical fitResidency, sovereignty, or constrained connectivity
System boundaryExplicitly divided cloud and private responsibilities
ControlContracted interfaces and data movement
OperationEnd-to-end telemetry without hidden ownership gaps
Typical fitSystems of record connected to new intelligence
System boundaryDevice or local site remains operationally authoritative
ControlSigned policy, bounded actuation, local fallback
OperationStore-and-forward evidence and controlled recovery
Typical fitRobotics, embedded, industrial, and field systems
Claim discipline