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Agentic AI & Autonomous Identity

Agentic Registry

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By NHI Mgmt Group Updated August 27, 2026 Domain: Agentic AI & Autonomous Identity

An agentic registry is a centralized inventory of autonomous agents, MCP servers, tools, and related identities in use across an environment. It gives security teams a live source of truth for what exists, what is connected, and how each component maps to policy, risk, and ownership.

Expanded Definition

An agentic registry is more than a software inventory. It is the control plane for autonomous software entities, MCP servers, tools, service accounts, and the secrets or certificates that let them act. In NHI security, the registry ties each agent to an owner, permitted actions, policy boundaries, and observed activity so that governance is based on current reality rather than stale documentation.

Definitions vary across vendors on whether the registry should include only production agents or also development sandboxes, ephemeral workflows, and delegated tools. NHI Management Group treats scope as a governance decision: if a component can authenticate, call tools, or influence data, it belongs in the registry. That approach aligns with the risk-based orientation in the OWASP Agentic AI Top 10 and the oversight principles in the NIST AI Risk Management Framework.

The most common misapplication is treating the registry as a static asset list, which occurs when teams record agent names but omit identities, scopes, and tool relationships.

Examples and Use Cases

Implementing an agentic registry rigorously often introduces operational overhead, requiring organisations to balance fast agent deployment against continuous inventory accuracy and approval discipline.

  • A security team records each support agent, its MCP server connections, and the service account used to reach internal ticketing systems.
  • Governance teams flag an unused agent that still holds an active API key, using the registry to force rotation and removal before abuse occurs, a pattern consistent with incidents described in the LLMjacking: How Attackers Hijack AI Using Compromised NHIs report.
  • An engineering group onboards a new coding agent and documents its tool permissions, data access boundaries, and fallback human approval steps before release.
  • Compliance staff reconcile the registry with identity logs to confirm which agents accessed sensitive datasets, a use case highlighted in AI Agents: The New Attack Surface report.
  • Architects use the registry to identify duplicate agents serving the same function so they can consolidate risk and reduce redundant credentials.

This concept is especially useful when multiple teams create agents independently and no single platform automatically tracks ownership across clouds, sandboxes, and SaaS integrations. It is also where the control assumptions in OWASP Top 10 for Agentic Applications 2026 become operational.

Why It Matters in NHI Security

Agentic systems expand the attack surface because each agent can become a trusted actor with real credentials, real permissions, and real downstream effects. Without a registry, defenders lose traceability for who or what is acting, which tools are reachable, and whether access still matches policy. That gap is especially dangerous for credential-heavy environments where an exposed token can be reused before teams even notice it.

NHIMG research shows how quickly this risk becomes exploitable: when AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes and as quickly as 9 minutes in some cases, according to LLMjacking: How Attackers Hijack AI Using Compromised NHIs. A registry helps reduce that window by making ownership, rotation status, and blast radius visible. It also supports the governance expectations reflected in the CSA MAESTRO agentic AI threat modeling framework and the threat mapping in MITRE ATLAS adversarial AI threat matrix.

Organisations typically encounter the need for an agentic registry only after an agent misroutes data, reuses stale credentials, or performs an unauthorised action, at which point the 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, OWASP Agentic AI Top 10 and CSA MAESTRO 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.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-01Agent registries support inventory and ownership controls for non-human identities.
OWASP Agentic AI Top 10A2Agentic inventories help govern tool access and unintended action paths.
NIST AI RMFThe framework emphasizes mapping AI system components and lifecycle risks.
NIST Zero Trust (SP 800-207)4.1Zero trust requires knowing every requesting identity and its authorized resources.
CSA MAESTROMAESTRO centers on agent governance, orchestration, and threat modeling.

Maintain a complete registry of agents, tools, and identities with owners and access scope.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org