TL;DR: Unosecur argues that service accounts, API keys, certificates, bots and AI agents cannot be governed with employee IAM habits because machine identities scale, persist and behave differently, with CyberArk research cited showing 82 machine identities per human and 42% holding privileged or sensitive access. The real control shift is to tie discovery, ownership, short-lived credentials, least privilege, lifecycle and behavior monitoring together before compromise becomes permanent.
At a glance
What this is: NHI Mgmt Group's analysis, drawing on Unosecur's blog post: Machine identities need distinct governance across discovery, ownership, credentials, privilege and runtime behavior.
Why it matters: IAM, IGA, PAM and cloud security teams need this because treating service accounts and AI agents like user accounts leaves stale access, long-lived secrets and hidden privilege paths in place.
By the numbers:
- Machine identities outnumber human identities by 82 to 1 across the surveyed organizations, according to CyberArk research cited by Unosecur.
- 42% of machine identities held privileged or sensitive access, according to CyberArk research cited by Unosecur.
Context
Non-human identity security is the discipline of governing service accounts, workload identities, API keys, certificates, automation bots and AI agents as identities in their own right. The article's central point is that human IAM assumptions break down once the identity is software-driven, always on, or capable of acting without direct user interaction.
The governance gap is not just secrets sprawl. It is the combination of unclear ownership, long-lived credentials, excess privilege and missing lifecycle control across environments that were never designed to manage machine actors as first-class identities. That is why the article frames NHI security as a distinct operating model rather than a user-IAM variant.
AI agents sharpen the problem further because delegated action, tool access and revocation become part of identity governance, not just application design. In this article, that makes NHI management the baseline control plane for both conventional machine identities and emerging agentic workloads.
Key questions
Q: Why do service accounts and AI agents need different controls from human users?
A: Service accounts and AI agents authenticate and act without the predictable patterns that human identity systems expect. They can operate across runtimes, scale quickly, and carry permissions into automated workflows. That means access decisions should consider workload context, runtime behaviour, and time-bound authority rather than relying only on user-centric IAM patterns.
Q: Why do long-lived machine credentials create more risk than short-lived access?
A: Long-lived machine credentials create more risk because they can be copied, reused, and forgotten across pipelines and infrastructure. Short-lived access reduces exposure, but only if it is tied to policy, ownership, and revocation at the point of use. Without that, the credential may still outlive the system or workload it was meant to protect.
Q: What are the signs that non-human identity governance is starting to slip?
A: Warning signs include reliance on manual upgrade paths, ad hoc secret handling, and fragmented access management across tools and environments. The article mentions caveats, dispatch limits, SSO support, and automated update channels, all of which point to the need for controlled operational discipline. When teams cannot explain how identities are provisioned, updated, and constrained, governance is already weaker than it should be.
Q: What should organisations do when a machine identity outlives the workload it was built for?
A: Retire the identity, revoke its credentials and remove any residual trust paths immediately. A machine identity should not remain active just because the account still exists; if the workload is gone, the access has to go with it.
Technical breakdown
Why employee IAM fails for machine identities
Employee IAM assumes a stable human owner, a visible joiner-mover-leaver lifecycle and authentication patterns that are relatively easy to explain. Machine identities do not behave that way. A service account can be created by one team, reused by another workload, inherit access through multiple policy layers and continue authenticating long after the original business context has changed. That breaks the basic governance model of account ownership tied to employment status. The operational consequence is that access review, recertification and offboarding must be driven by workload context, not by HR events.
Practical implication: map each NHI to a business workload, not to a generic team label.
How long-lived secrets and certificates expand blast radius
A non-human credential is only safe for as long as its exposure window stays small. API keys, tokens, passwords and certificates often move through source code, CI/CD systems, configuration files, logs and secrets stores, which creates many opportunities for leakage. If the credential remains valid for weeks or months, compromise becomes a waiting game for attackers. Short-lived credentials, workload federation and automated rotation reduce that window, but only when the identity behind the secret is also governed. Secrets management without identity governance simply preserves a valid path to production.
Practical implication: pair rotation with revocation, ownership and privilege review for every machine credential.
What least privilege looks like for service accounts and AI agents
Least privilege for NHIs is not just about the role assigned at provisioning. Effective access includes inherited permissions, trust relationships, cross-account grants and rights to modify other identities or resources. That matters because automation can use privilege continuously, not occasionally. For AI agents, the problem intensifies when delegated tools and chained actions can expand scope during runtime. In NHI terms, privilege must be bounded around what the workload actually does, not around what it might need someday. Static over-provisioning is the main path to avoidable blast radius.
Practical implication: review effective access, not just assigned roles, for every production NHI.
Threat narrative
Attacker objective: The objective is to turn one exposed machine credential into durable access to production systems and sensitive data.
- Entry occurs when a service account, API key or similar non-human credential is exposed in code, configuration, logs or another reachable store.
- Credential access follows because the exposed secret stays valid long enough to be reused by an attacker or misused by another system.
- Escalation happens when the compromised identity carries standing privilege, inherited access or trust relationships that reach production resources.
- Impact is the abuse of continuous machine access to modify systems, retrieve data, move laterally or persist inside critical infrastructure.
Breaches seen in the wild
- Kubeflow cryptomining attacks 2020: Exposed Kubeflow dashboards and a notebook's mounted Kubernetes service account let attackers run cryptominers on tens of ML clusters.
- iOS apps leaking hard-coded secrets: Cybernews found 71% of 156,080 iOS apps leak hard-coded secrets, with open cloud storage and Firebase databases exposing user data.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Non-human identity governance is now a first-class discipline, not a subtopic of IAM. The article makes the case that service accounts, workload identities, API keys, certificates, bots and AI agents all need separate treatment because their ownership, lifecycle and runtime patterns do not match human identity controls. That is the right framing for modern IAM programmes: the subject is identity behaviour, not just authentication method. Practitioners should treat NHI governance as a core control domain alongside human IAM and PAM.
Identity ownership is the control that turns machine access from technical debt into governed access. A service account with no accountable owner is not merely hard to inventory; it is impossible to risk-rank, review or retire with confidence. This is why NHI governance has to link identity to workload, business purpose and environment, then keep that link current as systems change. The practical conclusion is that orphaned access is a governance failure, not an inventory issue.
Ephemeral credential trust debt is the right named concept for this problem. Short-lived authentication reduces exposure, but the trust relationship behind the credential can still outlive the business need if ownership, privilege and lifecycle are not tied together. That is why the post correctly moves beyond secrets alone. Security teams need to think in terms of trust debt accumulated by identities that were never fully decommissioned or were reused across contexts.
Behavioural context is the missing control plane for machine identities. Machine identities can authenticate at high volume, from many locations and across multiple systems, so traditional user-centric anomaly detection is not enough. The important signal is deviation from the identity's expected workload, destination and privilege use. Practitioners should build detection around what the identity actually does after authentication, not just whether authentication succeeded.
AI agents expose the governance boundary where NHI and autonomy start to diverge. Once delegated tools, multi-step actions and revocation questions enter the picture, identity governance has to account for runtime authority, not just static credentials. That does not mean every agent is fully autonomous, but it does mean the identity layer now has to govern action scope as carefully as access scope. Teams should review whether their current NHI model can represent delegated agent behaviour at all.
From our research library:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to the Ultimate Guide to NHIs.
- Read next: Ultimate Guide to NHIs
What this signals
Ephemeral credential trust debt: machine identities can look well managed at the secret layer while still carrying durable access risk through ownership gaps, inherited privilege and delayed retirement. That means the security programme has to track the identity's purpose and lifespan, not just the secret attached to it.
The governance test is whether the identity can be explained, scoped and removed as a workload changes. If not, the organisation is accumulating machine access that outlives the business reason for creating it, which is exactly how NHI sprawl becomes a control failure.
For practitioners
- Define accountable owners for every NHI Tie each service account, workload identity and automation credential to a named team, application and business purpose, then require that ownership to be reviewed when the workload changes or is retired.
- Replace long-lived credentials with short-lived access Prefer workload federation, certificate-based authentication and managed identities over static passwords and API keys, and enforce automated rotation where persistent secrets remain unavoidable.
- Review effective privilege, not just assigned roles Inspect inherited permissions, trust policies, cross-account grants and rights to modify identities or infrastructure, then remove access the workload does not actively need.
- Build lifecycle controls for machine identities Create joiner-mover-leaver style processes for NHIs so new identities are approved, changed identities are re-scoped, and decommissioned workloads trigger deletion of credentials and accounts.
- Monitor workload behaviour after authentication Baseline normal authentication sources, resource access, privilege use and destination patterns for each identity so you can flag when a payroll integration queries development data or a CI/CD identity changes IAM policy.
Key takeaways
- Non-human identities need governance that starts with ownership and lifecycle, not with secrets alone.
- The main risk is not that machine identities exist, but that they persist with privilege long after their original purpose has changed.
- Effective control means linking discovery, short-lived credentials, least privilege and behavioural monitoring into one operating model.
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 MITRE ATT&CK address the attack and risk surface, while NIST SP 800-53 Rev 5 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Improper Offboarding | The article stresses that machine identities must be retired when workloads disappear. |
| NHI-05 — Overprivileged NHI | The article repeatedly warns that standing privilege and inherited access expand blast radius. | |
| NHI-07 — Long-Lived Secrets | Long-lived passwords, API keys and certificates are a central risk in the article. | |
| Recommendation — Automate offboarding so NHI credentials and accounts are removed when the workload ends. Review effective access and strip any NHI privilege the workload does not actively need. Replace static NHI secrets with short-lived credentials and automated rotation where possible. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | The threat path is exposed secrets followed by privilege abuse and broader movement. |
| Recommendation — Map exposed machine credentials to TA0006 and track downstream lateral movement through those identities. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Credential issuance, rotation and revocation are central to the control model described. |
| Recommendation — Apply IA-5 to govern NHI credential lifecycle, rotation and revocation. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article focuses on entitlements, ownership and effective privilege for machine identities. |
| Recommendation — Use PR.AA-05 to review and constrain NHI entitlements against real workload needs. | ||
Key terms
- Non-Human Identity (NHI): A digital identity assigned to a non-human entity such as a software application, service account, API key, bot, machine, or AI agent that enables it to authenticate and interact with systems without direct human involvement. NHIs now outnumber human identities in most enterprises by 25 to 50 times.
- Effective Privilege: Effective privilege is the real access an entity can exercise after inheritance, delegation, token scope, and connected-system trust are applied. It is often broader than the permissions shown in an identity repository, which is why runtime validation matters.
- Credential Lifecycle: Credential lifecycle is the process of issuing, rotating, expiring, and revoking secrets, certificates, and tokens across their usable life. For non-human identities, lifecycle discipline is the core control that separates temporary access from persistent exposure.
- Behavior Baseline: A record of normal activity for a non-human identity, including typical consumers, resources, and actions over time. Baselines help security teams detect when an identity is being used in an unusual way and provide the context needed to enforce least privilege safely in dynamic environments.
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 building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on August 28, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org