,allowExpansion)
Confidential Computing: How companies protect data even during processing
Today, data is routinely encrypted - both in storage and during transmission. But during processing, it often remains unprotected in the system's memory. Confidential Computing closes this gap: Trusted Execution Environments (TEEs) isolate sensitive computations directly at the processor level, ensuring that neither cloud providers nor administrators can access the processed data. For industries governed by GDPR, DORA, and NIS2, this topic is becoming business-critical. Learn about the existing risks, which architectures provide protection, and how Spike Reply supports companies in their implementation.
Why is classical cryptography no longer enough?
Companies encrypt data in storage and during transmission. But the moment data is actually processed, it exists as plaintext in the main memory – accessible to the operating system, the cloud provider, or infrastructure administrators. This is precisely the structural vulnerability of modern IT: traditional encryption concepts do not cover the processing layer.
Where do the greatest risks arise and what is at stake?
Three scenarios particularly intensify the risk today, wherever sensitive data crosses infrastructure boundaries and must be processed on systems over which one has no physical control.
Multi-cloud and hybrid environments
Data crosses infrastructure boundaries and with every boundary, the attack surface grows because companies do not fully control the processing layers.
AI on sensitive data
Patient data, financial transactions, and proprietary knowledge flow into models on third-party infrastructure. While approaches like Federated Learning reduce data centralization, they cannot protect the processing itself.
Collaborative data analytics
Two parties want to perform joint computations without revealing their underlying data. As long as this remains unresolved, valuable partnerships fail due to legal and security hurdles.
How can confidential computing close this gap?
Confidential Computing ensures that data remains protected even during processing through Trusted Execution Environments (TEEs): hardware-isolated areas built into modern processors that shield sensitive computations from the rest of the system via cryptographic attestation.
This allows the aforementioned scenarios to be implemented securely: When a company uses an AI model in the cloud or analyzes data with third parties, it traditionally loses control to the hardware operator. With Confidential Computing, however, models and data are loaded into such a TEE.
Through cryptographic attestation, the system can prove in advance that this "enclave" is secure. Only within this protected area is the data decrypted and processed. The operating system, infrastructure, and cloud provider see only encrypted data and have no insight into what is being processed.
TEEs are not a software add-on but a hard-coded security foundation of modern hardware, which is exactly why they are so effective. However, their mere existence protects nothing: only a tailored security architecture that meets specific requirements turns this hardware into a functioning, secure, and regulatory-compliant system.
For whom is confidential computing already business-critical?
The pressure to act is growing wherever regulatory requirements meet complex data processing realities:
GDPR, NIS2, and DORA don't just make Confidential Computing technically sensible; they increasingly make it a regulatory expectation. The question is no longer if, but when and how companies respond. Those who want to design not only the processing but also the infrastructure itself with sovereignty will find the right framework in a Sovereign Cloud solution.
How does Spike Reply support companies on the path to confidential computing?
Spike Reply translates the possibilities of Confidential Computing into concrete, deployable architectures - with architectural know-how, cryptographic depth, and regulatory expertise across the entire stack. Data control is not only tied to physical control over hardware; it must be systematically created for the application context and secured through specific measures.
What does the concrete approach look like?
Phase 1 – Assessment & risk mapping
Everything starts with a systematic analysis of the existing IT landscape: Which workloads process particularly sensitive data? How can these workloads be classified based on their specific sovereignty requirements? Where are there regulatory requirements that are not yet fully met? What functional gaps does the current architecture have regarding the required digital sovereignty? Where are the most critical points of attack in the processing architecture? This also includes checking which workloads can be operated on Confidential Computing-capable infrastructure. The result is a clear picture of the actual risk profile and a foundation for all further decisions.
Phase 2 – Architecture design & cryptoagility planning
Based on the assessment, Spike Reply develops a customized architectural design that embeds Confidential Computing. Suitable TEE technologies are selected independently of specific vendors. A central component of the design is seamless integration into the Key Management System (KMS), ensuring that full control over key material always remains with the company. Furthermore, forward-looking Cryptoagility Planning ensures that cryptographic methods remain flexible in the future.
Phase 3 – Implementation & integration
Implementation is environment-specific and takes into account individual hardware and service requirements. It ensures that existing systems, compliance frameworks, and security infrastructures are seamlessly integrated. Regulatory requirements from GDPR, DORA, NIS2, and ISO 27001 are anchored architecturally.
Phase 4 – Operations & continuous monitoring
Support does not end after go-live. Spike Reply establishes monitoring and attestation processes that ensure every protected processing environment is continuously and cryptographically checked for integrity. Security-relevant anomalies are thus detected in real-time.
Why must today's architectures already be designed for quantum resilience?
Quantum computing will challenge the classical cryptographic methods upon which Confidential Computing is built. Common encryption standards will become vulnerable in a timeframe that is already relevant for long-lasting IT architectures. Cryptoagility – the ability to flexibly exchange cryptographic methods – is therefore not an optional feature, but a structural prerequisite.
How does Spike Reply make confidential computing architectures future-proof?
Spike Reply builds architectures according to four principles:
The result is an architecture that not only meets today's requirements but is prepared for what is to come.
Ready to implement Confidential Computing in your IT landscape? Spike Reply accompanies you from the initial risk assessment to ongoing operations.
Frequently asked questions about confidential computing
You may also be interested in
,allowExpansion;Resize,width=660)