AI agent identity and non-human identity

AI agent identity is the attributable software identity under which an agent requests data or performs actions. It connects a workflow to an owner, purpose, credentials and access rules, so operators can distinguish actors and revoke access deliberately. A named agent configuration helps manage that boundary, but does not by itself prove the identity of a running workload.

What is AI agent identity?

The term can refer to several layers. A product may assign an agent record to a workflow. An application may authenticate a client credential. Infrastructure may verify a workload. A person may delegate access to their service account. Treating all of these as one identity hides useful distinctions.

Consider a coding assistant using a work tracker. “Release assistant” is its configured name. Its client credential authorizes a connection. The tracker account determines upstream privileges. Its runtime may be a local CLI or a hosted service. An operator needs to know which of those facts the system actually verifies.

Identity layer	What it identifies	What it does not prove alone
Agent configuration	A named workflow and its rules	The actual running process
Client credential	An authenticated connection	Every intended business action
Delegated account	Whose provider access is being used	Which independent agent made the request
Workload identity	A software workload in a trust system	The correct customer or tool operation
Human owner	Who is responsible for the setup	The trustworthiness of all returned content

Keep the label and the proof separate. A request containing an agent name is not authenticated merely because the name looks familiar. A gateway endpoint identifier also needs its authorization mechanism.

AI agents and non-human identities

A non-human identity is used by software: a service, job, automation or agent rather than a person signing in interactively. Agents share many operational concerns with ordinary software identities. They need ownership, least necessary access, credential protection and offboarding.

What changes is the variability of the action selection. A model can propose different tools and arguments as the task context changes. A fixed scheduled job may always call one operation, while an agent may choose among several. That makes the available tool boundary and action record especially useful.

A broad account credential can support many possible actions. Giving it directly to the model does not improve identity assurance and increases the places the secret may appear. The executor should keep the credential and validate the proposed operation before attaching it to a service call.

For authentication methods, see AI agent authentication. For the protocol-facing server boundary, see what an MCP server is.

SPIFFE and workload identity

SPIFFE defines identifiers and SVID identity documents for software workloads. Its model supports short-lived proofs used for authentication between systems. The official overview explains the workload and trust-domain concepts.

That can be relevant for agents running within production infrastructure. It is a different capability from naming an agent in a dashboard. AIPx does not claim workload attestation or a SPIFFE deployment, and its MCP URL should not be described as an SVID.

A workload can also handle user-delegated access. Its infrastructure identity answers which service is running; the delegated grant answers which user’s provider access may be used. Business authorization must relate those boundaries to the operation rather than assuming one identity proof decides everything.

AI agent identity management lifecycle

Identity management begins before issuance and continues after a workflow stops being useful. A forgotten connected agent is still an access path, even if no one remembers why it was created.

Define the owner and purpose

Assign someone who can explain the workflow and revoke its access. “The AI team” is less useful than a clear responsible account or operating role. Write down the systems and operations the agent needs, and the conditions under which that need ends.

A name should describe the purpose without becoming the permission mechanism. “Read-only assistant” is misleading if its configured tools include writes. Review the actual operation set and upstream credential rather than trusting the label.

Provision the access boundary

Connect the intended account, not a convenient administrator credential. Choose the specific operations and resources. Separate work and personal accounts, and separate development from production where the provider supports it.

If a credential is shared, document what independence is lost. One credential for five workflows may make rotating a compromised actor harder. Separate agent policies can improve tool boundaries, but they do not necessarily prove five distinct workloads are using them.

Observe and revise

Inspect the first task after provisioning. Did the agent use the expected account? Did it reach only relevant tools? Did a client that was expected to request review actually ask before calling a Confirm-marked operation?

Revisit access when the workflow, tools or connected account changes. A new provider operation should not inherit trust merely because the integration name remained the same. The change can alter the effects available under the identity.

Retire the workflow

Offboarding needs an explicit action: remove the agent’s access, revoke relevant client authorization and disconnect credentials no longer needed. Those actions have different scopes. Disconnecting a provider account may affect other agents that legitimately use it.

Keep enough operational evidence to explain the decision, but avoid retaining raw secrets in the record. An access inventory should identify the credential and owner without duplicating the credential value.

Credentials, delegation and access boundaries

A credential is a proof or secret used in a particular trust relationship. Identity is the actor associated with it. Authorization is the decision made about the actor and requested operation. These distinctions help avoid treating one token as a universal pass.

MCP’s security guidance discusses token passthrough and confused-deputy risks. Keep credentials bound to their intended recipients and do not send a provider token to an unrelated gateway as a substitute for that gateway’s login.

Relationship	Credential purpose	Access question
Client to gateway	Authorize the client connection	Which endpoint may the client use?
Gateway to provider	Use the connected service account	Which provider resources can it reach?
Runtime to infrastructure	Establish workload identity	Which service is actually requesting access?
Human to account	Establish user ownership and consent	Who can approve or revoke the relationship?

A successful client login does not mean the upstream account can perform every tool. A successful provider call does not mean the agent had authority for the user’s task. Keep both account capability and task authorization visible in the workflow.

AI agent identity governance for teams

An identity inventory should make the system legible. It should let an operator answer who owns an agent, why it exists, which accounts it uses, what access it has and how to stop it. That is more useful than counting named agents without understanding their grants.

Inventory field	Why it matters
Owner	Someone must manage access and incidents
Purpose	Access can be reviewed against a specific job
Runtime or client	Approval and credential handling vary by host
Accounts and resources	Provider boundaries remain explicit
Available operations	A tool set defines reachable effects
Credential lifetime	Renewal and rotation need an owner
Revocation route	Operators can stop access deliberately
Action evidence	Executed calls can be attributed at the verified layer

Do not infer enterprise features from the word “governance.” SAML, centralized organization roles, workload attestation and compliance reporting require specific product capabilities. If those are requirements, evaluate a platform that documents them and test the relevant lifecycle.

Avoid using an audit entry as stronger proof than it is. A gateway can record the configured agent associated with a call without proving the physical workload that held its token. A trace can correlate events without showing which human authorized a business action. Evidence should match the claim.

A practical per-agent access setup

For a developer connecting personal service accounts, AIPx gives each configured agent a URL and account/tool rules. Connect accounts once, then configure a coding agent separately from a personal planning agent.

1. Choose a workflow with a clear purpose and owner.
2. Connect the exact work or personal service accounts it needs.
3. Create an agent and review the discovered operations.
4. Hide unrelated tools and accounts.
5. Select Allow or Confirm execution hints for available tools as appropriate.
6. Authenticate the client to the agent endpoint.
7. Try a known task and inspect the audit before widening access.

Hide is enforced server-side and removes access. Confirm requests client approval through metadata, so its behavior depends on the client. It does not provide universal workload identity verification or a server-side execution block. The MCP permissions guide explains that boundary in detail.

AIPx records agent, tool, account, inputs, result and time. That gives useful configured-agent attribution across clients, without promising full end-to-end tracing or workload attestation. Free permits three connected accounts and one agent; Pro costs $3 per month for unlimited accounts and agents plus Pro integrations.

When a different identity model fits

A single internal application with a few fixed operations may be simpler with direct API handlers and existing service credentials. A private production deployment may need infrastructure workload identity and organization policy that a personal hosted gateway does not offer.

AIPx adds another operator to trust, while upstream permissions and model costs remain separate. Its value is explicit account and tool views for personal workflows, rather than replacing every identity layer. Read AI agent security for the wider threat model and what MCP is for the transport role. Connect free.