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A cloud workload identity tells a service which workload is asking for access; attestation gives a verifier evidence about selected attributes of that workload, its boot state, or its hardware-backed environment. A verifier can evaluate that evidence against trusted reference values and policy before credentials or access are granted. Attestation is not a universal security verdict: the decision is only as meaningful as the evidence, trust roots, and policy behind it.
What is workload attestation?
Workload attestation is a process for presenting evidence about a workload so another system can decide whether to trust it for a specific purpose. Depending on the platform, that evidence might identify an attached service account, describe a virtual machine, or include measurements associated with an enclave or confidential-computing environment.
Three roles are useful to distinguish:
- Attester: the workload or platform that produces the evidence.
- Verifier: the component that checks evidence and evaluates its claims against trust roots, reference values, and policy.
- Relying service: the identity system, secret store, key service, or other resource that uses the verification result to make an access decision.
Google Cloud’s remote attestation overview describes this pattern for assessing whether a Confidential VM is legitimate and operating in an expected state. In practice, the important question is not simply whether a workload can produce evidence, but whether a verifier accepts that evidence for the access being requested.
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How is attestation different from cloud workload identity?
Identity answers who is requesting access? Attestation answers a narrower question: what evidence does the platform provide about this workload or its execution environment? These mechanisms can work together, but one does not automatically establish the other.
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A workload may obtain an identity token without that token proving its boot measurements or runtime state are acceptable. Conversely, attestation evidence is not, by itself, authorization to use a resource. The verifier must validate the evidence, and a relying service or identity system must connect the verified claims to an access policy.
For example, Google Cloud’s managed workload identity authentication for Compute Engine can apply attribute rules involving an attached service-account email or UID, VM name, or instance ID before credentials are issued. That is a managed identity attestation policy; it should not be read as proof that measured boot or the entire application is trustworthy. Google’s documentation marks workload sources in this flow as deprecated, with removal on or after April 24, 2025. Because that date has passed, check current product documentation and status before relying on the legacy route; it is not a sound default for a new deployment.
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Which managed-compute attestation approach fits the claim?
These platform mechanisms answer different trust questions and are not feature-for-feature substitutes. Choose the one whose evidence corresponds to the claim your policy needs to enforce.
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|---|---|---|---|
| Compute Engine managed workload identity | Configured attributes such as attached service-account identity or VM identity. | Google Cloud IAM verifies configured attributes before credentials are issued; identities are represented as SPIFFE-formatted IDs. | Attribute checks do not, by themselves, prove measured boot integrity. The documented workload-source path is deprecated; consult current Google Cloud documentation for status. |
| Google Cloud Attestation and Confidential VM | Evidence from supported confidential environments, checked against reference values and appraisal policies. | Google Cloud Attestation returns verifiable claims for relying services, including IAM and Secret Manager. | Support depends on the confidential-computing technology and product. The verifier’s policy and trusted reference values determine what is accepted. |
| AWS Nitro Enclaves | A Nitro Hypervisor-signed attestation document that includes enclave-related measurements and data. | An external verifier can validate enclave identity; AWS KMS authorization conditions can use attestation document values when deciding whether to permit cryptographic operations. | This enclave flow is distinct from general EC2 instance attestation. Document values only help when the verifier or key policy checks them appropriately. |
| AWS EC2 NitroTPM with an Attestable AMI | Measurements associated with an Attestable AMI and a NitroTPM-enabled instance. | AWS documents establishing reference measurements, launching the attestation-enabled instance, and obtaining and validating evidence; reference measurements can condition access to KMS key operations. | Image construction and reference-measurement management are part of the trust process. Attestation does not establish that the whole application is safe. |
How do I prove a workload is running on trusted cloud compute?
Start by defining what “trusted” means for the access decision. A claim that a VM is attached to a particular service account is different from a claim that an enclave image matches an approved measurement, or that a confidential VM booted into an approved state. Select evidence that can actually support the claim; do not treat a platform’s general identity token as proof of every runtime property.
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- Specify the claim. Write the condition the relying service should enforce, such as an expected service-account identity, an approved enclave measurement, or an acceptable confidential-VM state.
- Map the trust path. Identify which platform component produces evidence, who verifies it, which trust roots and reference values are accepted, and which service ultimately grants or denies access.
- Define the policy outcome. Bind authorization to verified claims. Google Cloud Attestation provides claims for relying services such as IAM and Secret Manager; AWS Nitro attestation document values can be used in AWS KMS conditions.
- Plan how references change. Determine how image, boot, firmware, or configuration updates affect measurements, who approves changed values, and how policy changes are reviewed. AWS’s Attestable AMI workflow explicitly includes determining reference measurements.
- Test both acceptance and rejection. Confirm that evidence meeting policy permits only the intended access, and that missing, invalid, or unexpected evidence does not silently fall back to broader credentials.
Can attestation control access to cloud secrets or keys?
Yes, when the service that protects the secret or key can make an authorization decision using verified attestation claims. Google Cloud Attestation is documented as producing cryptographically verifiable claims for relying services including IAM and Secret Manager. AWS documents using Nitro Enclaves attestation document values in AWS KMS authorization conditions, and using EC2 NitroTPM attestation measurements to condition KMS key operations.
That does not mean every secret store or key service accepts every attestation format, nor that merely enabling attestation automatically protects a resource. The relying service must validate or consume the relevant claims, and its policy must grant only the intended operations to workloads satisfying the defined conditions.
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What does attestation not prove?
Attestation establishes only the properties represented by the evidence and evaluated by the verifier’s policy. It does not, on its own, prove that application logic is correct, that a workload remains uncompromised after evidence is produced, or that every dependency and operational control is safe. Treat it as one input to a least-privilege design, alongside narrowly scoped identities, controlled deployment and update processes, and monitoring appropriate to the workload.
What should teams compare before choosing an approach?
- Measurement scope: Which attributes, image components, boot state, or environment are represented, and who controls their measurement?
- Root of trust: What hardware- or software-backed mechanism protects the evidence, and what verifies its signature?
- Reference management: Who owns approved values and policy, and how are updates reviewed when measurements change?
- Authorization integration: Which identity, secret, or key service can consume the claims, and what exact operations can the resulting policy permit?
- Failure behavior: What happens when verification is unavailable, evidence is stale, or a workload is updated but its reference policy is not?
Provider documentation establishes these as distinct platform mechanisms, not equivalent implementations. Validate current support and the exact policy behavior for the cloud product and workload you intend to protect.
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