Our submission to Australia’s AI standards consultation

The Governance Control Plane for Healthcare AI

Patient identity
never leaves your network.

SECUVA™ is the independent Control Layer that lets healthcare say yes to more AI initiatives faster and safer.

The governance problem

Every new AI connection creates another relationship to govern.

Healthcare is connecting patient data to AI faster than it can govern it. When it can't, AI projects either stall in privacy, security and legal review, or go live without proof of what was shared, with whom, and under whose authority.

One integration ≠ One trust relationship

A marketplace can simplify integration. It does not make those trust relationships disappear.

Read the argument

As healthcare AI scales, governance has to answer

  1. 01

    What is this AI relationship authorised to do?

  2. 02

    What data may leave? For what purpose?

  3. 03

    What information is necessary?

  4. 04

    Is identity required?

  5. 05

    What controls must apply? Who authorised it?

  6. 06

    Can we prove what occurred?

SECUVA turns those questions from periodic governance exercises into operational controls.

The objective is not to stop healthcare using AI. It is to make each approved AI relationship governable, repeatable and defensible.

The control plane

One independent governance layerbetween your healthcare data and your approved AI.

The AI does not decide what it is allowed to receive. Your organisation does.

  • Australian-hosted control plane and governance evidence
  • Governs medical imaging releases to approved AI destinations today
  • Governed decisions and releases preserved in an immutable audit trail
Why now

AI is moving closer to the systems and data at the centre of care. Integration scales faster than accountability.

From 10 December 2026, Australian privacy law introduces greater transparency requirements around how personal information is used in certain automated decisions. Transparency is the obligation. Governability is the capability underneath it.

With new Australian automated-decision privacy laws hitting this December, our timing is precise.

Independent by design

Your AI ecosystem will change.Your governance shouldn’t.

Healthcare organisations will use multiple AI vendors, marketplaces, PACS/RIS platforms, research services, cloud environments and modalities. SECUVA™ keeps governance authority on the healthcare organisation’s side of those relationships - independent of any one supplier, marketplace or application stack.

Your AI ecosystem should not define your governance authority.

Change the vendor. Change the model. Change the platform. Your governance authority remains yours.

Australian by design

Built for Australian healthcare.Not adapted to it.

Australian privacy, security and healthcare governance were architectural inputs from the beginning - not localisation requirements added after the platform was built.

Privacy Act 1988 (Cth)Australian Privacy PrinciplesAustralian healthcare de-identification guidanceMy Health Records ActISO 27001Australian data residencyPrivacy Act 1988 (Cth)Australian Privacy PrinciplesAustralian healthcare de-identification guidanceMy Health Records ActISO 27001Australian data residency

Global AI. Local governance authority.

International assurance matters. But Australian healthcare organisations remain accountable for how their data is governed here.

Australian
Hosted control plane and evidence
Built in Australia
PS3.15
Aligned DICOM de-identification
Medical Imaging, available now
Customer-side
Identity removed when not required
Before anything is released
Inline
Enforcement in the data path
At the healthcare-data boundary
One governance platform

One control plane.
Across healthcare data modalities.

We’ve launched our first product, PixelIQ™ for Medical Imaging, designed a reusable architecture for all health data modalities, and are ready to scale and expand globally. Start with imaging. Extend the same governance model across pathology, genomics, cardiology, clinical records and physiological data as your AI estate grows.

One policy architectureOne evidence modelModality-specific protection at the edge

Govern it once. Reuse the control model for every approved AI destination that follows.

Built for the people who carry the accountability

One platform. Different questions.

Board & Risk Committee

Can management demonstrate how healthcare AI relationships are governed?

Visibility into governed destinations, authority, policy and evidence gives executive governance a defensible view beyond policies and spreadsheets.

Outcome

Assurance that governance exists operationally, not only on paper.

Governance that records intent is GRC.Governance that enforces authority is infrastructure.