Topic starter
25/10/2026 10:59 am
TL;DR: 10 years of Confidential Computing shows the model now spans CPUs, GPUs and every major cloud, Fortanix says in its blog post. Runtime verification now matters more because attestation, firmware and management services still affect who remains inside the trust boundary.
Editorial analysis by NHI Mgmt Group, based on content published by Fortanix: “10 years of Confidential Computing at Fortanix”.
Key questions
Q: Why does attestation matter more than encryption alone for data in use?
A: Encryption keeps memory or data unreadable, but it does not prove that the right code is running.
Q: What are the signs that a confidential computing deployment still trusts too much?
A: The main warning signs are mandatory provider-managed components, opaque firmware updates, attestation services you cannot inspect and secret release that happens before proof of execution.
Q: How should organisations decide which workloads need confidential computing first?
A: Start with workloads that process regulated data, partner data, or high-value secrets where exposure in memory would create material risk.
Practitioner guidance
- Define trust boundaries by workload sensitivity Map which applications can tolerate operator visibility and which require confidential execution, then align those workloads to the smallest viable trust base.
- Require attestation before secret release Do not hand over keys, tokens or data until the platform proves the expected code, firmware and hardware state.
- Review provider-controlled components inside the boundary Document any paravisor, attestation service or firmware path the cloud provider can change and decide whether that trust is acceptable.
Bottom line: Confidential computing reduces trust in the infrastructure operator by proving runtime state before sensitive data or secrets are released.
Glossary terms: Confidential Computing, Attestation, Trusted Computing, Data in Use Protection
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This topic was modified 7 days ago by NHI Mgmt Group
27/10/2026 7:17 pm
Confidential computing is moving from niche isolation to governance baseline: the control is no longer just about protecting secrets inside a processor boundary. It is about deciding which parties remain trustworthy when data is in use, and that shifts the core question from access control to trust verification. Practitioners should now treat runtime confidentiality as a policy decision, not a technical afterthought.
A question worth separating out:
Q: What is the difference between confidential computing and standard encryption at rest?
A: Encryption at rest protects stored data from offline access, while confidential computing protects data while it is being processed. The difference is the trust problem: encryption at rest assumes the runtime is safe, whereas confidential computing tries to make the runtime itself verifiable before sensitive data is exposed.
👉 Read our full editorial: Confidential computing is shifting from niche feature to default
This post was modified 7 days ago by NHI Mgmt Group