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Why do NHIs create more operational risk than many organisations expect?

NHIs create risk because they are numerous, distributed, and often managed with weaker governance than human identities. They can accumulate excessive privilege, become stale, or remain unmonitored across pipelines, code repositories, vaults, and cloud services. That combination expands the attack surface and makes it harder to prove who or what still has valid access.

Why This Matters for Security Teams

NHIs are operationally risky because they scale faster than the controls most organisations use to govern them. Service accounts, API keys, tokens, certificates, and workload identities are created by automation, embedded in pipelines, and reused across systems that rarely get the same scrutiny as human accounts. The result is not just more identities, but more hidden privilege, more stale access, and less confidence that access can be traced or revoked in time.

That risk is visible in industry data. NHI Management Group notes that only 5.7% of organisations have full visibility into their service accounts in the Ultimate Guide to NHIs, while the 2024 ESG Report: Managing Non-Human Identities reports that 72% of organisations have experienced or suspect a breach involving NHIs. Current guidance from the NIST Cybersecurity Framework 2.0 reinforces the need for continuous identity governance, but many environments still treat NHIs as implementation details rather than first-class assets. In practice, many security teams encounter NHI risk only after a secret has already been copied, reused, or left active long after the original purpose ended.

How It Works in Practice

operational risk increases when NHIs are created faster than they are inventoried, classified, and rotated. The usual failure pattern is straightforward: a developer adds a token to a CI/CD job, a cloud role is granted broad permissions to get the work done, and the secret is copied into another tool because the original workflow was not designed for lifecycle management. Over time, that one shortcut becomes a chain of standing access across repositories, vaults, cloud services, and third-party integrations.

Security teams reduce that risk by treating NHIs as managed identities with explicit ownership and lifecycle controls. That means knowing what the identity is for, where it is used, who can approve it, and how it will be revoked. NHI Mgmt Group’s Top 10 NHI Issues and Key Challenges and Risks sections both point to the same operational reality: visibility, rotation, and offboarding are where most programmes break down.

  • Inventory every NHI, including service accounts, workload identities, API keys, certificates, and automation tokens.
  • Assign an owner, purpose, and expiry condition for each identity.
  • Prefer short-lived credentials and automated rotation over static secrets.
  • Restrict privilege to the smallest workable scope and review it on a schedule.
  • Log issuance, use, and revocation so access can be reconstructed after an incident.

These controls align with the identity and access governance emphasis in the NIST Cybersecurity Framework 2.0, but they only work when the organisation can actually see where NHIs live. These controls tend to break down in fast-moving CI/CD environments because secrets are duplicated across build jobs, deployment tooling, and inherited cloud roles.

Common Variations and Edge Cases

Tighter NHI control often increases operational overhead, requiring organisations to balance faster delivery against stronger governance. That tradeoff becomes especially clear in platform engineering, multi-cloud estates, and partner-integrated environments, where teams may prefer persistent credentials because ephemeral access feels disruptive. Best practice is evolving, but the direction is consistent: reduce standing privilege where possible and make exceptions explicit rather than default.

There is also no universal standard for every NHI type. A certificate used by a device fleet, a service account used by an internal job, and a token handed to a third-party integration do not all deserve the same rotation cadence or approval flow. The key is to match control strength to blast radius. The 52 NHI Breaches Analysis shows that compromise often follows weak lifecycle control, not sophisticated exploitation alone.

Operational teams should also be careful not to overfit human identity processes to machine identities. MFA prompts, ticket-based approvals, and periodic access reviews help in some cases, but they do not solve the core problem when credentials are embedded in code or generated automatically by pipelines. In those cases, risk is better reduced through workload identity, just-in-time issuance, and continuous revocation than through manual review alone.

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 and CSA MAESTRO address the attack and risk surface, while NIST AI RMF, 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 Identity sprawl and stale secrets are core NHI attack paths.
CSA MAESTRO MAESTRO-3 Covers agent and workload identity governance across automated systems.
NIST AI RMF GOVERN Operational risk rises when autonomous systems lack accountability and oversight.
NIST CSF 2.0 PR.AC-1 Least privilege and access control are central to reducing NHI blast radius.
NIST Zero Trust (SP 800-207) SC-3 NHI risk is amplified when implicit trust and standing access remain in place.

Assign governance, ownership, and monitoring for every AI-driven or automated identity.