Wand AI × Zeroport

Joint Reference Architecture

Wand decides what an agent may do. Zeroport decides whether it physically can. Three seams, one enforcement mechanism.

Summary

Wand AI gives an autonomous agent an identity, a manager, goals and an audit trail. Zeroport gives that agent a body it cannot escape from. Every place where a Wand agent leaves the platform — into a sandbox’s egress path, into a protected internal estate, or into a model — the traffic terminates on a Zeroport Fantom Core: a sealed, per-session appliance with a physical break in the wire.

The joint architecture is two layers with a single, repeated pattern.

Wand (application layer) decides what the agent is authorized to do, and routes every outbound action through one of three gateways.

Zeroport (hardware layer) decides whether it physically can, and enforces that from silicon the agent has no address for.

No IP, TCP, UDP or proprietary packet crosses the boundary. What crosses is human-interface input inward — keyboard and mouse, carried as analog signals — and a display-only pixel stream outward.

Topology

Reference topology

One agent. Three enforced boundaries.

On-premises enforcement

Application layer

Wand platform

Identity, policy and authorization

Physical boundary

Zeroport

One isolated Core per session

Beyond the boundary

Destinations

Protected access, controlled exposure

Agent

Identity & goals
Manager & audit trail

Three outbound paths
01 Data-in

Application Gateway

Access to the protected estate

Fantom Core

01
SoCPhysical
air gap
SoC

HID signals in · pixels out

Protected Zone

Systems of record and control

Ingress control

No credential, API or IP route is created. Redaction at the pixel level.

02 Sandbox-out

Sandbox

Per agent · per session

↑ Application Gateway access

Fantom Core

02
SoCPhysical
air gap
SoC

HID signals in · pixels out

Internet

Public endpoints

Egress control

Full freedom inside the sandbox. No routable path out of it.

03 Model calls

LLM Gateway

Adaptive Router

Fantom Core

03
SoCPhysical
air gap
SoC

HID signals in · pixels out

Models / providers

On-premises or cloud

Model-boundary control

Sensitive data and PII never reach an external model.

Out-of-band oversight

Moativ On-device AI

NVIDIA Jetson Thor inspects every keystroke in and every frame out, on all three Cores.

AlertBlockPhysically sever

No IP, TCP or UDP crosses the air gap.

No shared kernel, tunnel or session state.

No session content leaves the rack.

Figure 1 — Three enforcement points, one enforcement mechanism. Each lane terminates on its own Fantom Core, so a compromise in one has no lateral route into another: no shared kernel, no shared tunnel, no shared session state.

The three enforcement points

1 · Data-in

Wand seam
Application Gateway → protected estate
What Zeroport controls
Ingress control. Access to systems of record and control. The session runs HID-in / pixels-out; Moativ reads every frame and can redact or block at the content level — OCR/VLM on classified markings, Chinese-wall or MNPI material.
Risk it removes
An agent — or a prompt-injected agent — obtaining a credential, an API and a network path into a segmented estate. Revoking the agent removes the path outright, rather than closing a session on a path that still exists.

2 · Sandbox-out

Wand seam
Sandbox → internet
What Zeroport controls
Egress control. The sandbox keeps full freedom inside itself — install, write, delete — but gets no routable path out. Moativ classifies attempted actions and destinations against policy and can sever the session physically.
Risk it removes
Data exfiltration from a sandbox whose context changes per agent and per session, and where file isolation between agents is the hard requirement.

3 · Model calls

Wand seam
LLM Gateway (Adaptive Router) → model provider
What Zeroport controls
Model-boundary control. What is exposed to a model is inspected on-device before it can leave. Sensitive data and PII never reach an external model, whether the model is on-prem or cloud.
Risk it removes
Sensitive data leaving the estate as prompt content, and compliance exposure from model-agnostic routing.

Why the enforcement holds

The path is physical. A Fantom Core is a circuit board roughly one-third the size of a credit card, carrying two SoCs separated by a full physical air gap. The gap terminates no network session and carries no packet. There is nothing to enumerate, nothing to pivot into, and no integration to secure.

The policy is out of band. Moativ, Zeroport’s on-device AI, runs on NVIDIA Jetson Thor NPUs inside the appliance — one internal, one external. It sees every keystroke going in and every pixel coming out on a single timeline, and distinguishes a command merely typed from one executed from one already showing results. It can alert, block, or physically sever a session via a kill command that is completely out of band. A software guardrail runs on the same computational plane as the model it polices; Moativ does not.

Policy is written in plain language, compiled into staged detectors, and dry-run against the program’s own session history before it is armed. Autonomy is set per group of users or agents on a five-step dial: observe, alert, investigate, terminate, self-tune. Every autonomous action lands in the audit log with the evidence attached — what was on screen, what was typed, what was done, and why.

Nothing leaves the rack. All inspection is on-premises. Zeroport sees no session content, and neither does any other external party.

Where governance stays with Wand

Zeroport is a boundary, not a control plane. Identity, authorization, objectives, the agent’s place in the org graph, the tool and application catalog, the classifier and the deny / approve / capture-approval flow, and the audit system of record all stay in Wand. Zeroport consumes the authorization decision and makes it physically true.

Rule binding is granular enough to follow Wand’s model: per circuit board, per user or agent credential, or round-robin across the available pool. Identity comes from the program’s existing IdP, MFA and AD.

Deployment

Scale: 200 Fantom Cores per 1U appliance; up to 10 appliances daisy-chained for roughly 2,000 concurrent sessions. Capacity grows in Cores, then in appliances — there is no shared tunnel to bottleneck or harden.

Latency: dedicated hardware pathways target sub-50 ms, which is what makes the channel usable for live control work rather than only for after-the-fact review.

Commercial model: per concurrent session, hardware-as-a-service, not per named licence.

Human operators and agents ride the same rails under the same policy engine.