The gate between machine intent and real-world execution.
ASE Gate is the runtime mode of the Auditome Sovereign Engine — designed to evaluate whether a machine or system action may proceed, before consequences occur, and to return a decision with a traceable, signed record. In development. Early access open.
What ASE Gate Does
Systems submit an intent to ASE Gate. It is designed to evaluate that intent against policy, authority, risk, and execution rules and return a recorded decision with stated reasons before anything runs.
Action may proceed
Action is blocked
Escalated for human approval
Every decision includes
Why ASE Gate Exists
Most systems
Can tell you what happened. Logs are recorded after execution. Audits run after the fact. Accountability arrives after consequences.
ASE Gate
Helps determine whether an action should have happened before consequences occur. Authorization, accountability, and approval boundaries are designed to be enforced at the execution boundary, not reconstructed afterward.
Should this principal be allowed to perform this action?
Every decision has an owner, a trace, and a record.
Define which actions require human sign-off before execution.
Enforce rules at the point of action, not the point of review.
How It Works
The system submits a structured intent. ASE Gate is designed to evaluate it and return a decision synchronously. Execution only proceeds if the decision is approved.
{
"decision": "approved",
"trace_id": "ase_tr_...",
"risk_score": 0.3,
"reasons": [],
"audit_ref": "aud_..."
}Every decision will include a trace_id and audit_ref for downstream traceability. This is the planned response shape — ASE Gate is in development.
One engine, two modes
ASE Gate is not a separate product. Diagnostic and Gate are two modes of the Auditome Sovereign Engine — the same engine, applied at two different points.
ASE Foundation Diagnostic
ASE inspects an AI-built or AI-assisted codebase read-only and reports what it can and cannot prove.
ASE Gate
ASE sits in the execution path, evaluates intent against policy and authority, and returns approved, rejected, or requires_human_review with a signed decision record.
The diagnostic shows where your system cannot prove itself. The gate is designed to enforce proof at the point of action.
The architecture is defined. The three decision states — approved, rejected, requires_human_review — are the designed interface. The policy evaluation model, trace record format, and audit persistence layer are specified.
ASE Gate does not have a live endpoint yet. If you need to evaluate AI actions against policy before they execute, register your interest and we will contact you when access is available.
Register Interest