Term · 27. Emerging Categories 2024-2026
AI Agent Identity
AI agent identity is the discipline of giving autonomous AI agents their own verifiable identities, scoped permissions and audit trails — rather than letting them act on a human's credentials. As agents call APIs, trigger workflows and access data on their own, they become a fast-growing class of non-human identity that needs authentication, least privilege, short-lived credentials and full traceability of every action they take.
Definition
Identity assigned to an autonomous AI agent acting on behalf of a human or workflow. Distinct from human identities (with employment lifecycle) and traditional NHI (with static credentials). AI agent identities require ephemeral credentials, contextual authorization scoped to the invoking user, and audit trails capturing both the agent and the originating principal. Major emerging category in Gartner Hype Cycle for Digital Identity 2025.
- Synonyms
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- AI Agent Governance
- Application
- Regulatory: Gartner Magic Quadrant / Hype Cycle · KuppingerCole Leadership Compass · OWASP NHI Top 10 (2025) / SAMM
- Standards & regulations
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- Gartner
- KC
- OWASP
- Sources
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- Microsoft Security — Identity & Access (Entra Agent ID) primary source
- Gartner Hype Cycle for Digital Identity 2025 industry commentary
Related terms
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Non-Human Identity (NHI)
Identities for service accounts, API keys, OAuth client secrets, machine certificates, workload identities (AWS IAM role …
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AI Agent Lifecycle Management
Discipline of provisioning, monitoring, updating, and decommissioning AI agents as first-class enterprise identities. Mi …
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Cloud Access Security Broker (CASB)
Cloud Access Security Broker (CASB) — intermediary between users and cloud services (SaaS/IaaS) providing visibility, co …
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AI Agent Credential Lifecycle Management
Specialised lifecycle workflows for AI agent credentials — provisioning short-lived tokens scoped to specific tasks, rot …
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Continuous Adaptive Trust
Authentication and authorization paradigm where trust is recomputed continuously throughout a session based on real-time …
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Identity Control Plane
Centralised policy and orchestration layer governing identity decisions across heterogeneous IAM, IGA, PAM, and authoriz …
Frequently asked questions
Why do AI agents need their own identity?
If an agent runs under a human's account, its actions are indistinguishable from that person's and inherit all their access. A dedicated identity lets you scope permissions tightly, audit the agent separately, and revoke it without affecting the user.
What are the main risks of AI agent identities?
Over-broad permissions, long-lived static keys, prompt injection causing unintended actions, and lack of attribution. Mitigations: least privilege, short-lived credentials, human-in-the-loop for sensitive actions, and complete logging.
How is agent identity related to non-human identity?
AI agents are a subset of non-human identities (NHI), alongside service accounts and workloads. They need the same governance — discovery, ownership, least privilege, rotation — plus controls for their autonomous behavior.