Confidential Computing

Process sensitive data with unmatched privacy — even while it’s in use

Confidential Computing is a breakthrough approach that protects data not only at rest and in transit, but also during processing. With the help of Trusted Execution Environments (TEEs) and hardware-based encryption, you can now run workloads in fully isolated, tamper-proof environments — whether in the cloud or on-prem.

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How Confidential Computing Works

Confidential Computing relies on hardware-based Trusted Execution Environments (TEEs) — secure areas within a CPU that isolate and protect data during processing. When an application runs inside a TEE, the data and code are encrypted and shielded from the rest of the system, including the operating system, hypervisor, and even the cloud provider. Only authorized code inside the enclave can access the decrypted data, and any attempt to tamper with the environment results in immediate termination. This setup ensures that sensitive information — such as medical records, financial transactions, or proprietary AI models — remains confidential and protected throughout its lifecycle.

Why use Confidential Computing

Protect Sensitive Data

Combined with encryption of data at rest and in transit, confidential computing removes the biggest barrier to moving sensitive or highly regulated data sets and application workloads from on-premises computing environment to a cloud ecosystem.

Protect Intellectual Property

Confidential computing is not only used to protect data. TEE can also be used to protect protected business logic, analysis functions, algorithms for machine learning or entire applications.

Work Securely with Partners

With Confidential Computing it is possible to combine sensitive data with another company's proprietary computing to develop new solutions while maintaining data confidentiality. Neither company has to share data or intellectual property if it doesn't want to.

Key Benefits

End-to-End Data Protection

Confidential Computing ensures that your data remains encrypted throughout its lifecycle — at rest, in transit, and in use. Even system administrators and cloud providers cannot access it during processing.

Regulatory Compliance Made Easier

Easily meet strict data privacy and sovereignty requirements such as GDPR, EU AI Act, or HIPAA by leveraging secure enclaves and verifiable compute environments.

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Secure Multi-Party Collaboration

Enable joint analytics and AI training on shared data — without revealing your source data to others. This is ideal for industries like finance, healthcare, and government.

Build Trust in AI Models

Use Confidential Computing to protect model weights, training data, and inference requests, giving customers confidence in how their data is handled.

Ready to Process Data Without Compromise?

Ready to Process Data Without Compromise?

Speak with our experts and learn how to integrate Confidential Computing into your cloud or AI workflows.