An agent registry is a central catalog of sanctioned and shadow AI agents, including their identities, permissions, and lifecycle state. Its value depends on whether it feeds broader governance, because a registry without telemetry, ownership, and offboarding can become another silo.
Expanded Definition
An agent registry is more than a directory of AI agents. In NHI operations, it becomes the authoritative inventory for sanctioned and shadow agents, recording identity, ownership, permissions, runtime status, and offboarding state so governance can follow the agent throughout its lifecycle.
Definitions vary across vendors, but the practical distinction is simple: a registry is useful only when it is connected to telemetry, policy enforcement, and revocation workflows. Without that linkage, it is just cataloguing. In mature programs, the registry supports Zero Trust Architecture and least privilege by showing which autonomous software entities exist, which tools they can use, and when their authority should be reduced or removed. That makes it operationally adjacent to [a href=”https://www.nist.gov/artificial-intelligence/ai-risk-management-framework?utm_source=nhimg&utm_medium=NHIGlossary” rel=”noopener noreferrer” target=”_blank”>NIST AI Risk Management Framework] expectations for traceability and governance, even though no single standard governs agent registries yet.
The most common misapplication is treating the registry as a static CMDB entry, which occurs when agent ownership, credential rotation, and decommissioning are not maintained after deployment.
Examples and Use Cases
Implementing an agent registry rigorously often introduces administrative overhead and integration complexity, requiring organisations to weigh visibility and control against the cost of continuous maintenance.
- A platform team registers every production agent with owner, purpose, model version, and approved tools, then links those records to access reviews and incident response. This is the governance pattern most often recommended alongside [a href=”https://nhimg.org/complete-guide-to-the-2026-owasp-top-10-risks-for-agentic-applications?utm_source=nhimg&utm_medium=NHIGlossary” rel=”noopener noreferrer” target=”_blank”>OWASP NHI Top 10].
- A security operations team flags a shadow agent discovered in a CI/CD workflow, adds it to the registry, and forces approval before it can call internal APIs. That same discovery process is reflected in the [a href=”https://nhimg.org/moltbook-breach-exposes-1-5-million-ai-agent-keys-what-you-need-to-know?utm_source=nhimg&utm_medium=NHIGlossary” rel=”noopener noreferrer” target=”_blank”>Moltbook AI agent keys breach], where unmanaged agent credentials widened exposure.
- An enterprise AI program uses the registry to mark agents as active, suspended, or retired, then triggers key rotation and policy updates when status changes. This aligns with the control logic behind the [a href=”https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/?utm_source=nhimg&utm_medium=NHIGlossary” rel=”noopener noreferrer” target=”_blank”>OWASP Top 10 for Agentic Applications 2026].
- A regulated organisation maps agent ownership to business units so that tool access can be removed quickly after a project ends, reducing orphaned agents and stale permissions. The same lifecycle concern appears in the [a href=”https://nhimg.org/the-ultimate-guide-to-non-human-identities?utm_source=nhimg&utm_medium=NHIGlossary#2025-outlook-and-predictions” rel=”noopener noreferrer” target=”_blank”>Ultimate Guide to NHIs — 2025 Outlook and Predictions].
- A fraud operations group registers agents that can approve transactions, then requires human review for high-risk actions and anomaly alerts for unusual tool use. That pattern mirrors the risk-based approach in the [a href=”https://www.nist.gov/artificial-intelligence/ai-risk-management-framework?utm_source=nhimg&utm_medium=NHIGlossary” rel=”noopener noreferrer” target=”_blank”>NIST AI Risk Management Framework].
Why It Matters in NHI Security
An agent registry matters because autonomous agents can accumulate authority quickly, especially when they are deployed by multiple teams and connected to secrets, APIs, and internal systems. When the registry is incomplete, organisations lose the ability to answer basic questions: which agents exist, who owns them, and which ones still have active access. That gap is operationally dangerous, particularly when an incident involves lateral movement, prompt injection, or credential misuse across agentic workflows. The [a href=”https://nhimg.org/ai-llm-hijack-breach?utm_source=nhimg&utm_medium=NHIGlossary” rel=”noopener noreferrer” target=”_blank”>AI LLM hijack breach] shows how quickly authority can be abused once an agent is reachable through exposed tooling.
NHIMG research shows that only 5.7% of organisations have full visibility into their service accounts, a figure that is highly relevant to agent registries because agents often depend on the same identity sprawl. Without registry-driven ownership and lifecycle control, shadow agents remain active long after the work they were created for has ended. That is why the registry should be paired with policy enforcement, telemetry, and revocation workflows rather than treated as a standalone list. Organisations typically encounter registry failures only after a breach review or offboarding cleanup, at which point the agent registry becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST AI RMF and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Covers discovery and inventory of non-human identities, including unmanaged agents. |
| NIST AI RMF | GOV | Requires governance, traceability, and accountability for AI systems across their lifecycle. |
| NIST Zero Trust (SP 800-207) | PA-1 | Zero Trust depends on strong identity and continuous assessment of every requesting entity. |
Maintain a live agent inventory and tie each entry to an owner, purpose, and revocation path.
