TECHNICAL
From Human Intent to Machine Action to Replayable Proof.
HOW AUTHRIZD WORKS
Authrizd gathers the sources that define what people, applications, agents, and systems are authorized to do. That can include identity, policy, approvals, mandates, delegation, permissions, ownership, business context, and operational evidence.
Authrizd evaluates what the AI proposes to do: the objective, target, systems involved, data involved, delegated authority, context, and conditions surrounding the action.
Technical permission answers whether an action can happen. Authrizd determines whether the evidence supports that it should happen.
When authority is missing, conflicting, stale, outside scope, or unsupported, Authrizd surfaces the issue for remediation, approval, exception handling, escalation, or denial.
Authority can change. Approvals expire. Ownership changes. Roles change. Context changes. Delegations are revoked. Authrizd detects when the evidence supporting an earlier decision no longer applies.
Authrizd maintains replayable evidence showing the authority, decision, action, and outcome so teams can reconstruct what happened and why.
The result is not simply another audit trail after the fact. It is an authority control layer designed to govern AI as it operates.
FUTURE DEPTH
This page is organized so more detailed architecture notes, deployment guidance, and research can be added as they exist. No placeholder papers or fake download links are presented.