Per-call policy enforcement
Every action passes through one gateway, and each decision is recorded with the check that produced it and the reason it gave.
- Allow, block, or escalate
- Full actor and target attribution
- Reason and check on every row
IntentGate turns runtime authorization into continuous evidence: every decision attributed, hash-chained, and exportable in the formats auditors and security teams already use.
An auditor does not only need a policy document. They need evidence that the control actually ran, under the correct policy, at the moment the AI acted.
Putting authorization in front of every tool call creates one place where enforcement and evidence are produced together.
The gateway receives the agent, user, tool, target, inputs, and originating intent.
The active Rego policy produces an allow, block, or escalation decision.
The decision lands in an append-only, hash-chained audit store with full attribution.
Teams query a window, verify integrity, and send the same evidence to the SIEM, auditor, or regulator.
Each framework asks different questions, but the recurring needs are the same: controlled actions, attributable decisions, continuous records, integrity, oversight, and incident evidence.
Supports automatic event recording, human oversight, risk controls, and evidence that high-risk AI actions were governed throughout operation.
→Provides attributable processing records, policy context, and tamper-evident evidence for how personal data was accessed or acted upon by agents.
→Creates a ready incident chronology for early warning, incident notification, and final reporting without reconstructing events across disconnected systems.
→Captures the who, what, when, policy, impact path, and containment decision needed for ICT incident evidence and operational resilience reporting.
→Turns AI management controls into replayable operating evidence rather than relying on written procedures alone.
→Extends least privilege, access governance, change traceability, and audit logging into the agent-to-tool layer.
→Produces continuous operating evidence across the review period, reducing gaps between written controls and the day-to-day behavior of agents.
→Three capabilities close the gap between policy, runtime enforcement, and audit evidence.
Every action passes through one gateway, and each decision is recorded with the check that produced it and the reason it gave.
Decision records are hash-chained and verifiable, so changes after the fact become immediately detectable.
Obligations are mapped directly to the gateway artifacts that support each requirement.
The strength of IntentGate is not that each framework gets a custom log. It is that the same well-formed decision record supports multiple control objectives.
IntentGate governs the agent-to-tool decision layer. It is not a complete control set for any framework, and it does not classify personal data, establish a lawful basis for processing, or handle data-subject rights. Use this table to see which obligations runtime evidence can support, not as a compliance attestation.
Bring your applicable frameworks, audit cycle, agent classes, and existing evidence sources. We will walk through where IntentGate fits and what artifacts it produces.