Stay in Control of Your Data in the Cloud

Enterprises stand at a crossroads: the promise of cloud innovation on one side, and a tightening web of data sovereignty regulations on the other. The real challenge isn’t just storage location, it’s the instant when data is exposed for processing, and whether you can prove control over that moment. Without that assurance, control of sensitive data in the cloud remains a primary barrier to transformation.

TAMUNIO’s Data Sovereignty Zones, powered by Confidential Computing, changes the game. Plaintext is confined to hardware-backed trusted execution environments (TEEs), isolated from the host OS, hypervisor, and co-tenants. Sensitive operations run securely inside these enclaves, minimizing exposure while providing auditable evidence of control.

• Discover & classify: Locate sensitive elements and identify which workloads genuinely require plaintext access.
• Process and prove control: Use a trusted execution environment fully under your control for approved workloads and identities.
• Decrypt only inside the enclave: Plaintext is revealed only inside the enclave. Keys remain under your control; the cloud provider never gains direct access.
• Process and re-protect: After processing, data is re-encrypted or re-tokenized before leaving the enclave. Everywhere else, sensitive values stay protected.
• Control and monitor: Capture logs of access, de-protection, and results. Export events to your audit systems or SIEM for compliance reporting and investigations.

• Cloud scale without added risk: Run analytics and AI in the public cloud with plaintext confined to TEEs, isolated from hosts, hypervisors, and co-tenants.
• Lower impact of potential compromise: If systems are breached outside the enclave, protected data remains tokenized or encrypted, reducing usable fallout.
• Operational continuity: Preserve schemas, pipelines, and application behavior; protection layers in without re-platforming.
• Faster partner and third-party onboarding Share results while keeping sensitive source data protected.
• Evidence on demand: Produce clear records of who accessed what, where, when, and why, providing regulators, auditors, and customers with verifiable proof of control.

• Analytics on regulated datasets: Run risk scoring, fraud analytics, or cohort reporting on sensitive records in a public cloud TEE.
• LLM/AI on confidential inputs: Process sensitive text for enrichment, resolution, or summarization inside enclaves.
• Card payments in the cloud: Keep data de-identified from capture to output. Plaintext is revealed only inside the enclave for critical steps like authorization or settlement.
• Healthcare processing & research: Aggregate or transform patient identifiers to produce de-identified datasets for BI or modelling.
• Data sharing with third parties: Deliver tokenized datasets to partners, vendors, or regulators by default. Reveal plaintext selectively inside enclaves for approved workloads.