A framework for assessing an organisation's capability to discover, govern, and secure non-human identities — typically measured across dimensions such as visibility, lifecycle management, least privilege, and monitoring coverage.
Expanded Definition
An NHI Maturity Model is a structured way to measure how well an organisation discovers, governs, rotates, monitors, and decommissions non-human identities. In practice, it helps teams compare their current state against a target operating model across visibility, lifecycle control, privilege discipline, and response readiness. The concept is closely related to broader identity governance, but it focuses on machine identities such as service accounts, workload identities, API keys, certificates, and secrets.
Usage in the industry is still evolving, and no single standard governs this yet. Some maturity models emphasise inventory and reporting first, while others prioritise automation, policy enforcement, and alignment to NIST Cybersecurity Framework 2.0 outcomes. A useful model should show not just whether NHIs exist, but whether they are governed in a way that supports least privilege, zero standing privilege, and predictable offboarding.
The most common misapplication is treating maturity as a one-time assessment score, which occurs when organisations measure tooling coverage without checking whether the underlying identities are actually rotated, revoked, and monitored in production.
Examples and Use Cases
Implementing an NHI maturity model rigorously often introduces assessment overhead, requiring organisations to weigh the clarity of a scored roadmap against the time needed to validate real operational controls.
- A security team builds a baseline inventory of service accounts, then scores each business unit on visibility, ownership, and expiration hygiene, using the Ultimate Guide to NHIs as a reference for core identity categories.
- A cloud platform team tracks whether workloads use short-lived credentials, policy-driven issuance, and automated rotation, aligning the model to NIST Cybersecurity Framework 2.0 governance expectations.
- A compliance group uses the model to compare development, operations, and third-party access paths, then identifies where secrets are still embedded in code or shared through manual channels, echoing patterns highlighted in Top 10 NHI Issues.
- An incident response team assigns a maturity level to offboarding controls, so compromised API keys can be revoked quickly instead of remaining active across multiple systems.
- A zero trust programme uses the model to determine whether machine access decisions are based on identity, context, and continuous verification rather than static privilege grants.
For deeper background on the identity types being assessed, see Ultimate Guide to NHIs — What are Non-Human Identities.
Why It Matters in NHI Security
An NHI maturity model matters because most organisations underestimate how quickly machine identities multiply, spread, and persist after the systems that created them have changed. NHIs often outnumber human identities by orders of magnitude, and weak maturity shows up first in poor visibility, overprivileged access, and slow revocation. In The 2024 Non-Human Identity Security Report, 88.5% of organisations said their NHI IAM practices lag behind or are only on par with human IAM, which signals a broad capability gap rather than an isolated tooling issue.
That gap has practical consequences: secrets remain valid after notifications, credentials are stored outside approved managers, and third-party exposure expands the attack surface. A maturity model gives practitioners a way to prioritise controls in the same sequence that attacks exploit them, starting with inventory and ownership, then moving to rotation, monitoring, and policy enforcement. The Cisco DevHub NHI breach illustrates how quickly machine identity weaknesses can become business incidents when governance is incomplete.
Organisations typically encounter the need for an NHI maturity model only after a secret leak, privilege abuse, or failed revocation exposes that machine identities were never governed as a distinct class of risk.
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 CSF 2.0 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 inventory, ownership, and governance gaps that maturity models are meant to measure. |
| NIST CSF 2.0 | GV.OC | Places identity governance outcomes within an organisation-wide cybersecurity capability model. |
| NIST Zero Trust (SP 800-207) | 3.2 | Zero Trust requires continuous identity verification and least-privilege enforcement for workloads. |
Advance NHI maturity by enforcing continuous verification, short-lived access, and minimal standing privilege.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on May 16, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
