Governance infrastructure
for healthcare AI

Patient identity
never leaves.

Built in Australia. For Australian healthcare.

SECUVA is the Governance Control Plane for Healthcare AI - connecting governance decisions to technical enforcement at the healthcare-data boundary. Control what AI may receive, under whose authority, and preserve the evidence behind every governed release.

Identity by necessity. Not by default.

DICOM PS3.15Customer-side enforcementAustralian control plane

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.

100%
Australian data residency
Australian-hosted control plane
Comprehensive
DICOM PS3.15 attribute coverage
Anonymised by default
Zero
Raw PHI sent to AI*
Removed customer-side
Inline
Low-latency pipeline
Runs at the edge
The governance problem

Integration scales faster than accountability.

One AI integration is manageable.

Ten AI services create ten destinations, purposes, approvals, data relationships and evidence trails.

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

One integration One trust relationship

AI is moving closer to the systems and data at the centre of care.

As healthcare AI scales, governance has to answer

  1. 01What is this AI relationship authorised to do?
  2. 02What data may leave? For what purpose?
  3. 03What information is necessary?
  4. 04Is identity required?
  5. 05What controls must apply? Who authorised it?
  6. 06Can we prove what occurred?

Governance that records is GRC.
Governance that enforces is Infrastructure.

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

The control plane

One independent governance layer
between your healthcare data and your approved AI.

SECUVA keeps governance authority on your side of the AI relationship. Policy defines what is authorised, what information is necessary and which approved destination may receive it. Those decisions become technical controls at the healthcare-data boundary - including de-identification where identity isn’t required - while the Australian-hosted control plane preserves the evidence without becoming another repository for raw patient data.

Identity stays customer-side when the authorised purpose doesn't require it
Australian-hosted control plane and governance evidence
Designed to govern across healthcare systems, data domains and AI providers
Governed decisions and releases preserved as tamper-evident evidence

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

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.

Customer-owned governance authority

Your policy. Your boundary. Your evidence.

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

How SECUVA makes governance operational

Authority before movement.
Evidence with every governed action.

Govern the relationship, not just the integration.

One governance platform

One control plane.
Across healthcare data modalities.

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
Built for the people who carry the accountability

One platform. Different questions.

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.