What is Agent Identity?
Giving every AI agent its own authenticated identity - so its actions can be permissioned and audited.
Agent Identity: definition
You cannot govern what you cannot identify. As AI agents take actions in systems, each needs its own identity - not to piggyback on a human’s credentials or a shared service account. With a distinct identity, an agent can be granted least-privilege permissions, its actions can be authorized against policy, and everything it does can be attributed to it in the audit trail. Agent identity is the foundation of accountable agentic AI.
- Each agent gets a distinct, authenticated identity
- Enables per-agent permissions and least-privilege scoping
- Makes every agent action attributable in the audit trail
- Prevents agents from hiding behind human or shared credentials
How Fintra handles it
Fintra treats AI agents as first-class actors with their own identities: each agent’s permissions, trust level, and action history are tracked distinctly, so governance decisions and the audit trail attribute actions to the specific agent. This is what lets adaptive trust and least privilege apply per agent, and what makes an agent’s behavior - good or anomalous - visible rather than blurred into a human account.
Worked example
Frequently asked questions
Why do AI agents need their own identity?
So their permissions can be scoped, their actions authorized against policy, and their activity attributed and audited individually. Without a distinct identity, an agent hides behind a human or shared account, making least privilege, adaptive trust, and accountability impossible.
What is a non-human identity?
It is an identity for a machine actor - a service, workload, or AI agent - rather than a person. Managing non-human identities is a growing security discipline, because agents and services increasingly take consequential actions that must be governed like human ones.
How does agent identity relate to least privilege?
Least privilege requires knowing who is asking so you can grant only what they need. A distinct agent identity is the prerequisite - it lets you scope each agent to exactly the data and actions it requires, and nothing more.
How does Fintra handle agent identity?
Fintra treats each AI agent as a first-class actor with its own identity, permissions, trust level, and action history - so governance decisions and the audit trail attribute actions to the specific agent, and adaptive trust and least privilege apply per agent.
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