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Assign the resource to an accountable team or person in your organization, and record that assignment. Also record separately who or what provisioned it and which identity it uses at runtime. The identity that made the successful request is an audit fact—not, by itself, an ownership decision.
What “owns” an agent-created resource?
For internal cloud governance, ownership means knowing who is accountable for the resource’s lifecycle and consequences. That can include approving changes or deletion, handling operational issues, reviewing security risks, and overseeing its cost. AWS Well-Architected guidance says workload resources should have identified owners for change control, troubleshooting, and other functions; it is guidance for organizational practice, not a universal legal rule. AWS Well-Architected: OPS02-BP01 Resources have identified owners.
Those duties do not have to belong to one person or team. A platform team might operate a resource while a product team approves changes and a business unit pays for it. The important thing is to define the assignments rather than rely on an ambiguous “owner” label.
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| Record | What it tells you | Why it matters |
|---|---|---|
| Provisioning principal | The authenticated user, service principal, or other principal that submitted the creation request, along with the agent or run identifier when available. | It helps establish who or what performed the action for audit and troubleshooting. Authorization to create a resource does not automatically assign ongoing responsibility. |
| Runtime identity | The identity, such as a service account or role, that the resource can use when it acts. | Its permissions determine what the resource can access at runtime; they should not be inferred from the creator’s permissions. Google Cloud’s Agent Platform documentation distinguishes resource identity from the principal that created a resource. Google Cloud: Agent identity. |
| Accountable owner | The team or person responsible for defined duties such as change approval, support, security review, and financial oversight. | This makes it clear who must act when the resource needs attention or creates risk or cost. |
Access policies are a separate part of the picture. Google Cloud notes that access controls may be set at project, folder, or organization scope, and that some supported resource types also allow resource-level policies. Check the effective policy and runtime identity for the specific resource rather than assuming the API caller’s permissions carry over. Google Cloud: Access control.
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What to put in the ownership record
Keep the record with the resource’s metadata or in a central inventory that operators can find. A practical record can include:
- Resource identifier, environment, and workload or business purpose.
- Provisioning principal, agent or run identifier, and creation time.
- Runtime identity or attached service account.
- Accountable owner team and a durable escalation contact.
- Who approves changes or deletion and who provides operational support.
- Security or risk reviewer, where that responsibility is separate.
- Cost center or billing owner.
- The policy or workflow that authorized provisioning.
This is an implementation checklist, not a provider-mandated universal schema. AWS recommends making ownership discoverable through mechanisms such as tags, account contacts, or accessible ownership documentation. Prefer a team contact or maintained on-call route over an individual’s personal inbox. AWS Well-Architected ownership guidance.
Make ownership part of the provisioning workflow
- Before creation: Require the workflow to identify an accountable team and cost center, in addition to the principal authorized to provision the resource.
- At creation: Attach ownership and purpose metadata or tags where the platform supports them, and preserve the provisioning principal and agent-run details.
- After creation: Inspect the effective access policy and runtime identity separately from the API caller. Confirm that the assigned team accepts the operational and change-control duties.
- If the record is missing: Use an organization-defined exception process to block, quarantine, or route the resource for assignment before it becomes an unmanaged dependency.
- For cost tracking: Connect resource or principal attribution to the available billing views, while checking their actual granularity and limits.
These are governance recommendations, not controls that every provider exposes in the same way. AWS, for example, documents that Amazon Bedrock IAM principal attribution can pass caller identity into Cost Explorer and Cost and Usage Reports. Its finest granularity is usage type per day—not cost for each individual request—so it should not be treated as per-request accounting. AWS: Track costs using IAM principal attribution.
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Responsibility can depend on how the agent is deployed
Do not assume that one cloud provider’s control model settles responsibility for every agent deployment. Microsoft’s AI agent shared-responsibility guidance says the division shifts with the deployment model and that responsibility follows whoever performs a task, even when the provider exposes the relevant controls as configuration. It also calls for clear ownership of actions an agent takes on a user’s behalf. Microsoft: AI agent shared responsibility model.
This is about operational accountability, not a determination of legal title or liability. Those questions depend on the applicable contract and jurisdiction; the platform guidance alone does not resolve them.
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