Encryption at rest and in transit is standard practice. Data being actively processed in memory has historically been the gap: to compute on it, a system generally has to decrypt it first, which means anyone with sufficient access to that memory — a compromised hypervisor, a malicious cloud operator, a misconfigured neighbouring workload — could potentially read it. Confidential computing, using hardware-based trusted execution environments to keep data encrypted even while it is being processed, closes that gap. It is a genuine advance. It is also, on its own, not a governance answer.What the Technology Actually GuaranteesA trusted execution environment protects the confidentiality and integrity of data and code running inside it from the infrastructure hosting it. That is a meaningful, specific guarantee — and it is easy to overstate into a broader claim that a workload running inside one is therefore "secure," full stop. The technology says nothing about whether the application logic inside the enclave is correctly written, whether the keys used to unlock it are properly governed, or whether the data was classified correctly before it went in.The Governance Questions the Hardware Doesn't AnswerWho controls the attestation and key-release policy: the strongest hardware guarantee is only as good as the process deciding which workloads are allowed to unlock it.What happens to data before it enters and after it leaves the enclave: the protection is scoped to processing, not to the data's entire lifecycle.Whether the vendor's trust model is actually understood, not just adopted: different confidential computing implementations make different assumptions about what they protect against, and a procurement decision made on the marketing claim alone can miss the fine print.Whether this is solving the right risk for the workload: a workload whose real exposure is a weak access control policy does not become safe because its memory is now encrypted.“Confidential computing protects data while it is being used. It does not protect an organization from a governance programme that never decided who is allowed to use it.”A Control, Not a Substitute for OversightThe right way to read confidential computing is as a strong new control placed inside an existing governance framework — closing a real technical gap for genuinely sensitive workloads — rather than as a reason to relax the classification, access and key-management decisions that still determine whether that workload is actually being used the way it should be.Share this articleX (Twitter)LinkedInFacebookCopy Link
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