Why do NHIs complicate traditional IAM governance?

Why This Matters for Security Teams

NHIs complicate traditional IAM because they are not governed like employees. They are created by code, cloud services, pipelines, and third-party integrations, so access often starts outside the normal approval path and persists far longer than intended. That breaks assumptions behind periodic access reviews, joiner-mover-leaver processes, and human-centric attestation workflows. Guidance from NIST Cybersecurity Framework 2.0 emphasizes ongoing governance, but NHIs demand a much faster control loop than most IAM programs are built to provide.

That gap is visible in the field. NHIMG’s 2024 ESG Report: Managing Non-Human Identities found that 72% of organisations have experienced or suspect a breach of non-human identities. For security teams, the issue is not just more identities, but identities that are easier to create, harder to inventory, and more likely to keep privileges after the original business need has changed. In practice, many security teams encounter misuse only after an integration, token, or secret has already been abused, rather than through intentional governance review.

How It Works in Practice

Traditional IAM is built around stable subjects, fixed roles, and predictable review cycles. NHIs behave differently. A workload may authenticate through a certificate, OAuth token, API key, service account, or cloud role, and each mechanism can be spawned by a different team or platform. That makes the real governance problem less about who requested access and more about what the identity can do, when it can do it, and whether the permission still matches the workload’s current task.

Current best practice is moving toward workload-centric governance: inventory the NHI, bind it to an owner, scope it to a single purpose, and issue short-lived credentials where possible. Runtime controls matter more than annual certification. Policy decisions should be evaluated at request time, using context such as environment, target resource, and task intent. That approach aligns with the direction of NIST SP 800-53 Rev 5 Security and Privacy Controls, which reinforces least privilege, access enforcement, and account management, even though it was not written specifically for machine identities.

For mature programs, the practical sequence is usually:

• discover all NHIs and secrets across cloud, CI/CD, SaaS, and infrastructure;
• map each NHI to a business owner and a documented workload purpose;
• replace standing credentials with short-lived tokens or certificate-based trust where feasible;
• remove broad roles and unused entitlements;
• log and review token issuance, secret use, and privilege escalation events continuously.

NHIMG research on Top 10 NHI Issues and the Lifecycle Processes for Managing NHIs shows why this lifecycle view matters: unmanaged creation, weak rotation, and poor ownership are recurring failure points. These controls tend to break down in fast-moving CI/CD environments because identities are created and consumed faster than manual review or periodic reconciliation can keep up.

Common Variations and Edge Cases

Tighter NHI governance often increases operational overhead, requiring organisations to balance stronger control against deployment speed and platform complexity. That tradeoff is especially visible in cloud-native environments, where ephemeral workloads and multi-account architectures make central approvals slow and brittle. In those settings, the better answer is often not more human review, but narrower machine-scoped trust, automated expiration, and policy-as-code.

There is no universal standard for this yet, especially for service-to-service identities created inside SaaS platforms or by vendor-managed integrations. Some teams can enforce certificate rotation and just-in-time access for infrastructure workloads, while others must rely on secret scanning, usage telemetry, and compensating controls because the platform does not support stronger primitives. NHIMG’s Regulatory and Audit Perspectives and 52 NHI Breaches Analysis both reinforce that auditability, ownership, and rotation are often the difference between manageable risk and hidden exposure.

Security teams should also treat third-party OAuth apps, automation bots, and cross-account roles as special cases, because these often evade the same approval gates used for employee access. The governance model has to fit the workload. Where the system cannot support ephemeral identity or runtime policy checks, the fallback is stronger monitoring, tighter scope, and aggressive revocation discipline.

Related resources from NHI Mgmt Group

• Why do NHIs complicate zero trust and least privilege efforts?
• Why do non-human identities complicate zero trust architecture?
• What is the difference between zero trust for users and zero trust for NHIs?
• What is the difference between JIT access and Zero Trust for NHIs?