By NHI Mgmt Group Editorial TeamPublished 2026-06-04Domain: Best PracticesSource: Unosecur

TL;DR: Non-human identities outnumber human identities by over 92:1 and are attacked far more often, according to Unosecur, so IAM teams need stronger visibility, lifecycle control, and monitoring across cloud and on-premises environments. The real issue is not just credential sprawl but governance that still assumes machine access behaves like human access.


At a glance

What this is: This is a practical NHI security guide that argues the largest identity attack surface needs tighter IAM, lifecycle, and monitoring controls.

Why it matters: It matters because service accounts, API keys, tokens, and certificates now sit at the center of enterprise access decisions, and weak governance there can undermine both NHI and broader identity programmes.

By the numbers:

  • 92:1.
  • The risk of NHIs being attacked outweighs that on human identities by as much as 17 to 1.

👉 Read Unosecur's guide to securing non-human identities and reducing NHI risk


Context

Non-human identity security is the discipline of governing service accounts, API keys, tokens, certificates, bots, and other machine identities with the same rigor applied to human access. This article argues that the NHI attack surface is now large enough that visibility, privilege scope, and lifecycle control have become core IAM concerns rather than secondary operational tasks.

The practical gap is familiar: credentials live too long, access is broader than needed, and monitoring is fragmented across cloud, on-premises, and third-party integrations. That combination turns routine machine-to-machine access into a persistent path for compromise, lateral movement, and difficult-to-trace exposure.


Key questions

Q: How should security teams govern non-human identities across cloud and on-premises environments?

A: They should use one governance model for both environments, with shared ownership, consistent entitlement rules, and unified logging. The goal is to make a service account or API key subject to the same lifecycle discipline wherever it operates. If policy differs by environment, attackers will look for the weakest path and reuse the same credential there.

Q: Why do service accounts and API keys create outsized risk when they are overprivileged?

A: Because a single credential can unlock more systems than the workload actually needs, turning one compromise into broader access. Overprivileged non-human identities expand blast radius, make lateral movement easier, and raise the cost of incident response. The safest model is task-scoped access with explicit ownership and rapid revocation when purpose changes.

Q: What breaks when machine credentials are not rotated or decommissioned on time?

A: Old credentials remain valid after the business reason for them has ended, which gives attackers more time to find and reuse them. That creates a standing trust problem, not just a hygiene issue. Stale secrets also confuse audits because the environment contains identities that no longer match a live workload or owner.

Q: How do organisations know whether NHI governance is actually working?

A: They should look for proof that every non-human identity has an owner, a purpose, a scope limit, a rotation rule, and a defined offboarding path. If any of those are missing, governance is incomplete even if tools are in place. Strong programmes show fewer dormant credentials, fewer broad roles, and faster revocation when incidents occur.


Technical breakdown

Granular IAM controls for service accounts and API keys

The article’s first control layer is classic IAM applied to machine identities: role-based access control and attribute-based access control define what each NHI can do, while privileged access management constrains elevation and improves auditability. The important point is that machine identities often inherit broad permissions because they are provisioned for convenience, not for task scope. When that happens, a single exposed key can unlock far more than the workload actually needs. Practical implication: treat every non-human identity as a governed principal with explicit entitlement boundaries, not as a technical dependency to be left broad for reliability.

Practical implication: review every machine principal for least-privilege scope and remove broad inherited access paths.

Identity lifecycle management for machine credentials

A second control layer is lifecycle discipline. The article ties risk reduction to automated provisioning, de-provisioning, short-lived credentials, and periodic audits so stale identities do not remain active after a workload, integration, or vendor relationship changes. This is where many programmes fail: the credential outlives the business purpose, so the identity becomes a standing trust object rather than a temporary access mechanism. Practical implication: build decommissioning and rotation into the same workflow that creates the identity in the first place.

Practical implication: automate offboarding and revocation so machine access ends when the workload or integration ends.

Zero Trust verification and identity threat detection

The article also frames NHI security through Zero Trust and monitoring. Continuous verification means access is re-evaluated at the point of use, rather than trusted because the identity was once approved or sits inside a trusted network. Identity Threat Detection and Response then adds behavioural monitoring, so unusual API patterns, login timing, or token use can be flagged before the abuse spreads. In practice, this shifts defence from static credential possession to observable behaviour and rapid containment. Practical implication: connect identity logs to detection rules that can isolate compromised machine accounts quickly.

Practical implication: combine continuous verification with identity telemetry so anomalous machine activity can be contained early.


Threat narrative

Attacker objective: The attacker wants to turn one compromised machine identity into durable access across the environment and use it to exfiltrate data or extend control.

  1. entry via overexposed or broadly scoped machine credentials that allow access to cloud, CI/CD, or third-party systems.
  2. escalation through over-privileged entitlements, where one compromised token can reach adjacent resources or administrative actions.
  3. impact through data exposure, lateral movement, or supply-chain misuse that persists until the credential is revoked or rotated.
  • Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
  • Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.


NHI Mgmt Group analysis

Machine identity governance is now an IAM problem, not a niche security problem. The article is right to treat NHIs as the largest part of the identity surface, because service accounts, keys, and tokens now mediate core business processes. Once that population becomes larger than the human estate, weak lifecycle discipline and inconsistent policy enforcement stop being edge cases and become programme-level exposure. The implication is that identity teams must govern machine principals as first-class identities.

Standing privilege is the dominant failure mode in machine identity environments. The article repeatedly points to broad permissions, long-lived credentials, and weak revocation as the conditions that make compromise useful to an attacker. That pattern matches the broader NHI breach record, where access persists longer than the business need. The named concept here is credential lifetime mismatch: the identity remains valid after the operational purpose has already changed, which keeps attack paths open.

Zero Trust for NHIs only works when verification is tied to the point of use. The article’s emphasis on continuous validation is important because machine access often looks trusted simply because it is automated and repeatable. That assumption fails once integrations span cloud, on-premises, and third parties, where the same credential can be reused in multiple contexts. Practitioners should treat trust as conditional and time-bound, not as a property granted once at provisioning.

Monitoring alone does not fix NHI risk if lifecycle ownership is unclear. The article shows why alerting, logs, and anomaly detection matter, but those controls still depend on knowing who owns the credential and when it should be removed. Without ownership, the organisation can detect misuse and still fail to revoke the identity decisively. The lesson is that governance, not just telemetry, determines whether compromise becomes contained or persistent.

Hybrid environments make NHI control consistency the real test of maturity. The article’s cloud and on-premises examples show that inconsistent policy enforcement creates blind spots for the same identity type across different stacks. That means the programme must be measured by whether access rules, rotation cadence, and offboarding are uniform enough to survive environment changes. Practitioners should judge maturity by consistency of enforcement, not by the presence of isolated tooling.

From our research:

  • 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time, according to the Ultimate Guide to NHIs.
  • Only 5.7% of organisations have full visibility into their service accounts, which means most teams still cannot see the identities they are expected to govern.
  • The same governance gap is why readers should also review 52 NHI Breaches Analysis for breach patterns that show how missing ownership and weak lifecycle control become real incidents.

What this signals

Credential lifetime mismatch: the environment is changing faster than many NHI governance processes can track, and that creates a structural gap between access creation and access retirement. Teams should expect more pressure to prove who owns each machine identity, why it still exists, and what event removes it from the estate.

The practical signal for IAM leaders is that machine identity governance will increasingly be measured by revocation speed, entitlement scope, and cross-environment consistency. If those three measures are weak, the organisation may have visibility into access but not control over it.

As the surface expands, NHI programmes that can connect inventory, lifecycle, and detection will be able to justify stronger Zero Trust enforcement with less debate. That shift matters because the value is no longer just preventing breaches, but reducing the time identity risk can persist unnoticed.


For practitioners

  • Inventory every machine identity Build a single register of service accounts, API keys, tokens, certificates, bots, and workload credentials across cloud, on-premises, and third-party integrations so ownership and purpose are visible.
  • Reduce every entitlement to task scope Re-map broad machine permissions to the smallest access set needed for each application, API, or pipeline stage, and remove inherited roles that were added for convenience.
  • Automate de-provisioning and rotation Tie credential creation to expiry, offboarding, and rotation workflows so stale secrets are removed when a workload is retired or an integration changes.
  • Correlate identity logs with containment playbooks Use behavioural alerts for unusual API calls, timing, or token use, then link them to revocation and isolation steps that can be executed immediately by the operations team.
  • Apply Zero Trust checks at runtime Verify machine requests continuously instead of trusting network location or historical approval, especially where cloud and on-premises access paths overlap.

Key takeaways

  • Non-human identities have become a primary identity risk because their volume, privilege, and persistence make them hard to govern with human-centric IAM models.
  • The evidence points to the same failure pattern across incidents: broad machine access, slow rotation, and weak offboarding keep compromise windows open.
  • Practitioners should focus on ownership, task-scoped permissions, rotation discipline, and runtime verification if they want NHI governance to hold in real environments.

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.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-03The article centres on rotation, lifecycle, and access scope for machine identities.
NIST CSF 2.0PR.AC-4Least-privilege access and identity governance are central to the post.
NIST Zero Trust (SP 800-207)AC-4Continuous verification and conditional access are core to the article's Zero Trust guidance.

Use PR.AC-4 to tighten machine access scope and verify entitlements during each review cycle.


Key terms

  • Non-Human Identity: A non-human identity is a machine principal used by software, services, or automation to authenticate and access resources. It includes service accounts, API keys, tokens, certificates, bots, and workload identities that must be governed with ownership, scope, rotation, and revocation controls.
  • Standing Privilege: Standing privilege is access that remains continuously available instead of being granted only when needed for a specific task. For non-human identities, it increases the chance that a stolen or forgotten credential can be reused long after the original operational need has passed.
  • Credential Lifecycle Management: Credential lifecycle management is the process of creating, approving, rotating, auditing, and retiring access credentials in line with business need. In NHI programmes, it is essential because machine credentials often outlive the workload or integration they were issued for.
  • Zero Trust for Machine Identities: Zero Trust for machine identities means every access request is verified at the point of use rather than trusted because the workload is internal or previously approved. It requires continuous validation, narrow scope, and telemetry that can prove the identity is still operating within policy.

What's in the full article

Unosecur's full blog covers the operational detail this post intentionally leaves for the source:

  • A step-by-step breakdown of IAM and PAM controls for service accounts, API keys, tokens, and certificates.
  • Specific examples of lifecycle automation for provisioning, de-provisioning, and credential rotation in hybrid environments.
  • Practical monitoring and incident-response patterns for detecting abnormal NHI activity before it spreads.
  • Case examples showing how organisations improved posture after a compromise, including recovery steps and control changes.

👉 Unosecur's full blog covers IAM, lifecycle, monitoring, and hybrid-environment control examples in more operational detail.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.
NHIMG Editorial Note
Published by the NHIMG editorial team on 2026-06-04.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org