Non-human identities and AI agents: what IAM teams need now

TL;DR: As companies add AI agents, the identity footprint can multiply quickly, with one example showing ten agents calling one hundred tools can create 10,000 credentials to manage, according to ConductorOne. The governance challenge is no longer just human IAM. It is consistent authentication, authorization, monitoring, and review across humans, service accounts, and agent-driven tool chains.

NHIMG editorial — based on content published by ConductorOne: Human vs. Non-Human Identities Explained

Questions worth separating out

Q: How should security teams govern non-human identities alongside human accounts?

A: Treat non-human identities as first-class subjects in IAM, not as exceptions handled by platform teams.

Q: Why do AI agents make identity governance harder?

A: AI agents make governance harder because they can hold credentials, call tools, and trigger actions across multiple systems, which multiplies the number of identities and permissions involved in one workflow.

Q: What breaks when service accounts are left out of lifecycle governance?

A: Service accounts that are not owned, reviewed, or removed on time tend to accumulate stale permissions and remain active after the workload they support has changed.

Practitioner guidance

• Inventory every non-human identity path Build a complete register of service accounts, API keys, tokens, certificates, and AI agent credentials, including the tools and downstream systems each one can reach.
• Map delegated tool chains end to end Trace each AI agent from the first data source it touches to the final system action it can trigger, then document every identity involved in the chain.
• Extend lifecycle controls to machine identities Apply joiner-mover-leaver style governance to service accounts and automation identities so credentials are created with an owner, reviewed on schedule, and removed when the workload or integration ends.

What's in the full article

ConductorOne's full blog covers the practical identity patterns this post intentionally leaves at a higher level:

• Examples of how service accounts, APIs, and agent tool calls are grouped into identity workflows
• The article's own framing of AI agent identity patterns inside modern infrastructure
• The specific ways ConductorOne recommends teams think about governance and review across human and non-human identities

👉 Read ConductorOne's explanation of human and non-human identities →

Non-human identities and AI agents: what IAM teams need now?

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