Healthcare

Run clinical AI in the cloud.
Patient privacy, by design.

We fix that

EHR, clinical AI, imaging, and research workloads run encrypted end-to-end — patient records remain invisible to your cloud provider, vendors, and admins.

EHR
Clinical AI
Imaging
Research
Patient portals
Analytics
PROTECTED WORKLOADS
LIVE
EHR Integration
ATTESTED
Clinical AI Triage
ATTESTED
Imaging Exchange
ATTESTED
Population Health
KEY PENDING
Attestation failures: 0
Cloud assurance: C5-aligned
AVALAIBLE ON EVERY MAJOR CLOUD AND CHIP VENDOR
AWS
AZURE
GOOGLE CLOUD
INTEL
AMD
NVIDIA
RED HAT
SUSE
STACKIT
HOW IT WORKS

How an encrypted workload runs — from the moment it boots to the moment
it gets your data.

1.  Workload starts
The workload is encrypted in memory by a hardware-isolated enclave the moment it boots.

2.  Identity is proven
The workload must prove it's the right code (unchanged) before data is unlocked.

3.  Keys release
Data unlocks only for that verified code. No human ever sees it.
WHAT YOU'D SEE DAY ONE

Live runtime evidence across every cloud.

Every workload attested, every key release logged, every audit query answered with proof —
automatically.

PROTECTED WORKLOADS
4 environments active
KYC Processing Pipeline
ATTESTED
AWS eu-west-1
AML Transaction Scoring
ATTESTED
Azure westeurope
Payment Signing Service
ATTESTED
Private Cloud
Risk Analytics Engine
ATTESTED
GCP europe-west3
Key releases today
2,847
Attestation failures
0
Evidence artifacts
DORA-ready
Admin plaintext paths
None
WHY NOW

Your patient data is exposed

Multiple pressures are reshaping how healthcare organisations run sensitive workloads. Confidential Computing is the answer to all of them.

Patient data exposed at runtime
EHR records, imaging, and clinical AI inputs sit unencrypted in memory while they are processed.
GDPR special-category data
Health, genetic, and biometric data need stronger processing safeguards than standard PII.
Vendor & cloud access stays open
Hyperscaler admins and managed-service teams remain close to your most sensitive clinical systems.
NIS2 & CRA raise the bar
Healthcare and digital providers have to prove risk management and supply-chain control.
MDR, IVDR & AI Act demand evidence
Clinical software and AI models trigger conformity, logging, and human-oversight obligations.
C5 reviews stall projects
German cloud assurance asks for technical proof of isolation, key control, and operator exclusion.
THE DIFFERENCE

Same clinical workload. Different access surface.

The software doesn't change. Who can see the patient record does.

Without enclaive
With enclaive
Patient data in memory
Decrypted
Encrypted by hardware
Cloud admin sees data
Yes
No
Vendor or SI sees data
Yes
No
Unapproved code can run
Yes
No
Audit evidence
Policies + screenshots
Cryptographic attestation
Code changes required
----
None
USE CASES

One control pattern for every sensitive workflow.

Whatever you need to protect, verify, or prove — it runs on the same confidential foundation.

01
Protect data in use
EHR, EMR & patient portals
Run care coordination, identity, and records workflows without exposing patient data to vendors.
Confidential clinical AI
Protect prompts, context, embeddings, and models while AI workloads run.
Core clinical platform migration
Move EHR-adjacent, scheduling, and claims workloads with no plaintext access paths.
02
Verify workloads & vendors
Research & cross-provider analytics
Analyze cohorts and outcomes without pooling raw protected health data.
Consent, identity & key custody
Keep consent, identity, and data-release policy enforceable end-to-end.
Imaging, lab & data exchange
Bind image exchange, lab results, and API access to verified workload policy.
03
Prove compliance
Regulatory reporting & audit access
Turn quality reporting, privacy reviews, and audit into cryptographic evidence.
C5-oriented cloud workloads
Support German healthcare cloud reviews with proof of isolation and key control.
WHERE TO START

Start with the outcome you need to unlock

You're a decision maker in healthcare. Here's what you can do with Confidential Computing.

CEO / Hospital executive
Patient and partner trust
Launch trusted digital health services faster, with protected workloads patients and partners can trust.
CISO
Close privileged-access risk
Cut runtime exposure paths around patient data with controls you can prove, not just describe.
CFO / Procurement
Cut audit & control cost
Reduce duplicated controls, audit effort, and lock-in across cloud, EHR, and analytics platforms.
CIO / Clinical IT
Ship clinical workloads
Move sensitive healthcare workloads to production with one reusable control pattern.
CTO / Platform
Secure modernization
Add confidential VMs and Kubernetes baselines with no rewrites or platform lock-in.
GRC / Audit
Continuous evidence
Replace manual evidence with runtime proof mapped to GDPR, NIS2, EHDS, AI Act, MDR/IVDR, and C5.
BOOK A WORKLOAD ASSESSMENT

Validate your first regulatory-grade workload.

Bring one EHR workload, C5 question, AI use case or cloud constraint.
Leave with a practical pilot path for confidential computing,
customer-held keys, and automated evidence.

Your healthcare contact:
Norbert Müller
Chief Strategy Officer
Additional information

Go deeper on healthcare compliance, C5,
sovereignty, and key control.

Selected references for healthcare teams evaluating confidential cloud, C5-oriented assurance, sovereign key management, platform rollout, and audit-ready encryption controls.

Translate Patient Records into data-driven Insights
Explore the ebook for insights on leveraging confidential computing, addressing regulatory requirements like GDPR/Schrems II in your digital transformation.
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Who Holds the Keys? Exploring GYOK, BYOK, and HYOK for Cloud Sovereignty
Learn how GYOK, BYOK, and HYOK redefine cloud key management and help you balance data security, control, and flexibility.
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