Confidential Computing
The short answer · 12 words
In short
Protection of data during processing in a hardware-based, attested Trusted Execution Environment.
Flow-alerta.cab (2026): Confidential Computing. https://flow-alerta.cab/en/glossar/confidential-computing. Editorially reviewed on: 10 October 2026.
How much detail would you like?
Practical
Relevant for sensitive AI, analytics and cloud workloads, where data should also be shielded from parts of the infrastructure.
Hypothetical example: A company processes sensitive data in a Confidential VM while the workload runs in a hardware-protected environment.
For sensitive workloads, evaluate threat model, TEE support, attestation, key management and performance together.
At a glance
- Core
- According to the definition of the Confidential Computing Consortium, data is protected during processing in a hardware-based, attested TEE. The approach complements other protections; application security, key management and the concrete threat model remain relevant.
- Use
- Relevant for sensitive AI, analytics and cloud workloads, where data should also be shielded from parts of the infrastructure.
- Example
- Hypothetical example: A company processes sensitive data in a Confidential VM while the workload runs in a hardware-protected environment.
- Limits
- Equate confidential computing with complete end-to-end security; ignore key management, application vulnerabilities, and attestation.
Questions about this term
Does it protect stored data?
This requires additional encryption at rest.
What primarily protects Confidential Computing?
Data in use.
What is a TEE?
An isolated trusted execution environment.
All details and background
According to the definition of the Confidential Computing Consortium, data is protected during processing in a hardware-based, attested TEE. The approach complements other protections; application security, key management and the concrete threat model remain relevant.
ELI5 – Explained simply
Data remains especially protected even when a computer actually works with them.
Why it matters in practice
Relevant for sensitive AI, analytics and cloud workloads, where data should also be shielded from parts of the infrastructure.
Example
Hypothetical example: A company processes sensitive data in a Confidential VM while the workload runs in a hardware-protected environment.
Pitfalls and limits
- Equate confidential computing with complete end-to-end security; ignore key management, application vulnerabilities, and attestation.
Origin & history
The Confidential Computing Consortium formulates a definition based on hardware-based, attested TEEs. Cloud providers such as Google document corresponding deployment options.
Use in mid-sized companies
- For sensitive workloads, evaluate threat model, TEE support, attestation, key management and performance together.
Related terms
- Encryption
Matching Flow-alerta service
AI opportunity analysis & roadmapAI consulting: AI potential analysis & roadmap on tasks, data and prerequisites of a possible first AI use case.Matching tool / use case
View use casesUse Case: Processing sensitive corporate data in a hardware-isolated cloud environment.Sources
- confidentialcomputing.ioConfidential Computing Consortium, A Technical Analysis of Confidential Computing
- docs.cloud.google.comGoogle Cloud, Confidential Computing
Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: