Security and Governance
Designing AI systems with explicit permissions and verifiable outcomes
Sherivs · Editorial · Published 2026-10-26
If an AI system cannot say who authorized an action, the action does not belong in an institution.
Authorization is not a prompt. It is a decision from identity, tenant, role, relationship, resource, action, policy, and risk.
When AI participates, the same decision still has to be made. A model can draft a message or suggest a schedule. It should not become an administrator because the interface made that easy.
Evidence over confidence
A verifiable outcome records what happened, who initiated it, and which policy applied. Confidence scores are not evidence. Sherivs separates canonical records from derived intelligence so a fluent answer cannot quietly replace a ledger row.