# Agent Identity > Source: https://ibl.ai/resources/glossary/agent-identity > Last updated: 2026-08-19 **Definition:** Agent identity is the practice of giving an AI agent its own authenticated principal — separate from the human who delegated the work — so every action it takes can be attributed, scoped, logged and revoked independently. **On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network.** ## What is Agent Identity? The prevailing anti-pattern is a static API key on a shared service account. It defeats least privilege, because the key must cover the broadest thing the agent might ever do; it defeats attribution, because the log shows a service account rather than a person and a purpose; and it defeats revocation, because rotating the key breaks every agent using it. The worse variant is an agent inheriting a human's session or credential, which produces a log that positively misattributes machine actions to a person. The alternative is delegation: the agent authenticates as itself, requests authority for a specific task, receives a short-lived scoped grant, and every action records the agent, the delegating human, the scope and the timestamp. ## Why It Matters Agent identity is what makes autonomous agents auditable, and audit regimes across regulated sectors assume a named actor behind every access. It is also the control that bounds the damage from prompt injection, since a narrowly scoped agent can do little even when compromised. ## Key Characteristics ### The Agent Is Its Own Principal Not a shared service account and not a borrowed human session. The agent authenticates as itself so its actions are separable from everyone else's in the record. ### Credentials Are Short-Lived and Task-Scoped Authority is granted for a specific job and expires, turning a permanent skeleton key into something closer to a hotel card that stops working at checkout. ### Delegation Is Recorded, Not Inferred Each action logs the agent, the human who delegated it, the granted scope and the timestamp. Delegation cannot be reconstructed afterwards, so it must be captured at write time. ### Revocation Is Granular One agent's authority can be withdrawn without breaking every other agent, which is what makes prompt revocation operationally realistic rather than an outage. ### Least Privilege Becomes Enforceable Scoped-per-task grants mean an agent holds only the access the current job requires, instead of the union of everything it has ever needed. ### Bounds the Blast Radius of Compromise A compromised or injection-manipulated agent can only reach what its current narrow grant permits, which converts a potential breach into a contained incident. ## Examples - **Law Firm:** A drafting agent reaches a document management system through a shared service account with firm-wide read access. — *The log cannot show which matter or which lawyer triggered the access, so a potential conflict crossing an ethical wall is unreconstructable.* - **Law Firm:** An agent requests a short-lived grant scoped to one matter and one document set for the duration of a single task. — *Every action ties to the agent, the delegating attorney, the matter and the scope, and the authority expires when the task ends.* - **Financial Services Firm:** A finance agent accesses accounting systems through a service-account key with no record of which analyst initiated the work. — *The deployment fails the individual-attribution standard auditors apply, independent of whether anything improper occurred.* ## How does ibl.ai handle agent identity and audit? Every agent is its own principal with scoped, short-lived credentials, and every action records the agent, the delegating human, the granted scope and the timestamp. Because ibl.ai is the agentic AI platform where you own all the code and the data, that audit trail is written to storage inside your perimeter in a schema you control and can export in full — an asset you hold rather than a reporting view exposed by a subscription. Agent identity integrates with your existing directory, so delegation is recorded against real people. It is model-agnostic, carries no per-seat pricing, and you can deploy anywhere. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University. ## FAQ **Q: Why can't an agent just use the human's credentials?** Because the resulting log misattributes machine actions to a person, which is worse than no log for audit purposes. It also grants the agent everything the human can do, rather than only what the task requires. **Q: What is wrong with a static API key on a service account?** It breaks least privilege, individual attribution and revocation at once. The key must cover the broadest possible use, the log shows only the service account, and rotating it takes down every agent that shares it. **Q: What should a per-action agent log contain?** The agent identity, the delegating human, the matter or business context, the scope granted, the model and version used, the inputs referenced and the timestamp. Delegation especially must be captured at write time. **Q: How does agent identity relate to prompt injection defense?** Directly. A successful injection can only achieve what the agent is permitted to do, so short-lived task-scoped identity is the control that bounds the blast radius when input-layer defenses fail. **Q: Does agent identity require new infrastructure?** Usually it extends what you have. Agents become principals in your existing identity provider with scoped grants issued per task, which is why integration with the organization's directory matters more than a separate agent credential store. ## How does ibl.ai approach Agent Identity? **ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.** - **You own all the code and the data.** Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours. - **Model-agnostic.** Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform. - **No per-seat pricing.** Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ. - **Deploy anywhere.** Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University. ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.