TL;DR: Mismanaged access, overprivileged identities, and static credentials are expanding attack surface as modern infrastructure shifts toward NHIs and cloud-native workflows, according to Apono’s analysis. The governance problem is no longer just access control at rest, but whether IAM can continuously discover, scope, and revoke machine access fast enough to matter.
At a glance
What this is: This is an IAM best-practices analysis that argues modern cloud environments need stronger governance for non-human identities, because static credentials, overprivilege and poor revocation are widening exposure.
Why it matters: It matters because IAM teams now have to govern humans and machine identities together, and gaps in NHI lifecycle control directly affect privilege creep, lateral movement risk and auditability.
By the numbers:
- 38% of breaches trace back to stolen credentials.
- In healthcare, this figure rises to 70% of breaches from insiders abusing privileged access accounts.
- The IAM market is projected to reach over $32 billion this year.
- Non-human identities outnumber human identities by 41:1 in cloud environments.
Context
Identity and access management is no longer a human-only control problem. In modern cloud stacks, service accounts, API keys, scripts and CI/CD workflows often carry production access, which means the programme has to govern who or what can act, when that access exists and how quickly it disappears.
The failure mode is familiar: access is granted faster than it is reviewed, revoked or scoped correctly. Once those identities become hardcoded, long-lived or orphaned, the IAM model stops being a live governance control and becomes a partial inventory of known risks.
Apono’s article frames that gap as the central challenge for cloud-native IAM. The emphasis is on continuous discovery, least privilege and lifecycle enforcement across both human and non-human identities, not on static policy design alone.
Key questions
Q: What breaks when non-human identities are left with static credentials?
A: Static NHI credentials break the assumption that access can be reviewed before it is abused. If a token or API key never expires, an attacker only needs one exposure event to gain usable access. That is why secret sprawl and poor lifecycle control turn routine leaks into persistent compromise.
Q: Why do service accounts create more risk than many teams expect?
A: Service accounts create risk when they accumulate privileges, outlive the workload that needed them, or remain embedded in code and automation. Unlike human users, they can be reused silently and forgotten easily. That combination turns them into durable access paths unless organisations enforce ownership, rotation, and offboarding discipline.
Q: When should teams prioritise NHI governance over other IAM work?
A: Teams should prioritise it when automation, cloud integrations, or AI agents are expanding faster than identity review processes. If service accounts and secrets are not fully inventoried, the organisation is already exposed. Governance should move up the queue whenever audit readiness, least privilege, or incident response depends on machine identities.
Q: How do access reviews need to change for machine identities?
A: Access reviews for machine identities should focus on purpose, owner, system reach, and whether the entitlement still exists for an active workload or integration. A reviewer cannot certify what they cannot contextualise, so reviews must show the business function behind the account rather than just a role name.
Technical breakdown
Why static credentials break cloud IAM governance
Static credentials create a governance mismatch because the identity may persist long after the task that justified it has ended. In cloud-native environments, that often means API keys, SSH tokens and service credentials remain valid across deployment cycles, repository changes and ownership shifts. The access model looks controlled on paper, but the real exposure window stays open until someone notices the credential and revokes it. That is why traditional IAM processes that depend on periodic review struggle to keep pace with modern infrastructure. The control failure is not just weak authentication. It is the inability to tie credential lifetime to operational need.
Practical implication: treat credential lifetime as a governed property, not a background admin task.
How overprivileged NHIs expand the attack surface
Overprivileged non-human identities increase risk because machine access is usually created for function, not for restraint. When service accounts, automation jobs or API keys can reach more systems than they need, a single compromise can move far beyond the original use case. This is the same least-privilege problem that IAM has always faced, but it is harder to observe in machine estates because ownership is often unclear and usage is distributed across code, pipelines and cloud services. RBAC and ABAC help only when the permissions are kept precise and continuously aligned to the actual workload.
Practical implication: scope every NHI to the narrowest resource set that the workload actually needs.
Why lifecycle management matters for non-human identities
NHI lifecycle governance is the missing bridge between access provisioning and access removal. Many organisations create machine identities through scripts or infrastructure-as-code, but fail to match that speed with offboarding, rotation and recertification. The result is shadow access that survives deployment changes, team turnover and application retirement. In practice, the control gap is not visibility alone. It is the absence of a reliable process that can discover, classify and revoke machine access as part of the same lifecycle that created it. Without that, IAM becomes reactive instead of authoritative.
Practical implication: include every machine identity in joiner-mover-leaver and recertification workflows.
Threat narrative
Attacker objective: The attacker seeks durable access through machine credentials that can be reused for broader movement, data access or operational disruption.
- Entry occurs through exposed or reused credentials such as API keys, SSH tokens or service accounts embedded in code, config files or cloud workflows.
- Credential access succeeds because long-lived machine secrets remain valid after deployment, making theft or reuse far more valuable than a single session token.
- Escalation follows when overprivileged NHIs can reach broader production systems, databases or cloud control planes than their workload requires.
- Impact is achieved through lateral movement, data access or privilege expansion that turns one compromised machine identity into a wider cloud incident.
Breaches seen in the wild
- Dropbox Sign breach 2024: A compromised back-end service account gave attackers Dropbox Sign customer data, including API keys, OAuth tokens and MFA information.
- OneLogin API flaw (CVE-2025-59363): A OneLogin API flaw exposed OIDC client secrets to anyone with an API key, including vendors (CVE-2025-59363); fixed with no customer impact.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
NHI governance now sits inside core IAM, not beside it: The article shows that service accounts, API keys and other machine identities are part of the access estate, not an edge case. That shifts identity governance from periodic human review to continuous control over non-human access creation, scope and revocation. The practitioner implication is that IAM programmes must treat machine identity as a first-class governance domain.
Standing machine credentials are a lifecycle failure, not just a secrets problem: The article links static tokens, unused credentials and delayed revocation to concrete breach paths. That means the real issue is not merely secret storage, but the absence of a reliable offboarding and expiry model for NHIs. The practitioner implication is that access lifetime must be bound to workload need, not ticket timing.
Overprivileged NHIs create identity blast radius: When machine identities carry more access than their workload requires, one compromise becomes a multi-system event. This is exactly where least privilege breaks down in cloud stacks, because machine permissions are often granted for convenience and then left to drift. The practitioner implication is that privilege scope must be measured against actual runtime use, not assumed design intent.
NHI lifecycle controls are the point where governance becomes real: Discovery, ownership, recertification and revocation are the controls that decide whether machine access is manageable or merely visible. Without them, shadow identities persist across deployments and make audit evidence unreliable. The practitioner implication is that identity governance for cloud stacks must include machine offboarding as a routine control, not an exception handling step.
Machine identity exposure is now a board-level risk because the attack surface is materially larger: The article ties the rise of NHIs to cloud scale and to credential-driven breaches, which means IAM maturity is now a resilience issue as much as an access issue. A programme that cannot inventory and govern machine identities cannot credibly claim least privilege or continuous control. The practitioner implication is to prioritise NHI governance as part of enterprise access-risk management.
From our research library:
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to the Ultimate Guide to NHIs.
- Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them, according to the Ultimate Guide to NHIs.
- Read next: Ultimate Guide to NHIs — What are Non-Human Identities
What this signals
NHI governance has become the enforcement layer for modern IAM: cloud identity programmes now fail or succeed based on whether they can see machine identities as clearly as human ones. When service accounts, API keys and automation jobs are treated as first-class identities, access policy can finally match how cloud work actually runs.
Credential lifetime is the hidden control plane: if access does not expire, review processes and approval workflows arrive too late to matter. The practical shift is toward issuance-time controls, scoped tokens and offboarding tied directly to change events, because that is where standing risk is created.
Privileged machine access needs the same scrutiny as privileged users: teams that separate human IAM from NHI governance leave a gap big enough for attackers to exploit. The strongest programmes now measure machine access scope, ownership and revocation as part of the same assurance process they already apply to people.
For practitioners
- Map and classify every non-human identity Inventory service accounts, API keys, automation jobs and CI/CD identities, then tag them by owner, environment and business criticality so governance can follow actual use.
- Replace standing secrets with short-lived access Use ephemeral credentials and workload-scoped tokens for deployments, scripts and service integrations so machine access ends with the task instead of persisting indefinitely.
- Bind revocation to ownership changes Make offboarding and rotation part of every application, pipeline and infrastructure change so abandoned machine credentials do not survive handoffs or retirements.
- Review machine access alongside human access Include non-human identities in access reviews, exception reporting and audit cycles so entitlement drift is visible before it becomes a breach path.
Key takeaways
- The article’s core warning is that cloud IAM now has to govern machine identities as actively as human users, because static credentials and overprivilege create durable exposure.
- Its examples show how unrotated tokens, broad permissions and weak ownership turn a single non-human identity into a broader breach path.
- The control that changes the outcome is lifecycle governance: discover NHIs, scope them tightly, and revoke them when the workload ends or the owner changes.
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 addresses the attack and risk surface, while NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-05 — Overprivileged NHI | The article centres on excessive permissions for service accounts, API keys and other machine identities. |
| NHI-07 — Long-Lived Secrets | Static API tokens and standing credentials are a core risk in the article. | |
| NHI-01 — Improper Offboarding | The article stresses revocation and deprovisioning gaps for machine identities. | |
| Recommendation — Scope machine identities to the smallest runtime permissions required for the workload. Replace long-lived NHI secrets with short-lived credentials tied to workload need. Include NHI offboarding in every lifecycle process so stale access is removed promptly. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is fundamentally about governing who or what has access to cloud resources. |
| Recommendation — Continuously review entitlements and authorization scope for both human and machine identities. | ||
| CIS Controls v8 | CIS-5 — Account Management | Account lifecycle and ownership are central to the article’s IAM guidance. |
| Recommendation — Centralise account management so machine identities are inventoried, owned and revoked consistently. | ||
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.
- Standing Credential: A standing credential is any secret that remains usable until it is manually rotated or revoked. In NHI governance, it creates durable access that can be stolen, replayed, or propagated from trusted tooling unless runtime boundaries and expiry are built in.
- Overprivileged Identity: An overprivileged identity has more access than its workload or service actually needs. In NHI environments, this often happens through default cloud permissions, role accumulation, or poor review discipline. The practical risk is a larger blast radius if the identity is compromised or misused.
- Identity Lifecycle Governance: Identity lifecycle governance is the set of processes that create, change, review, rotate, and revoke access across human and non-human identities. It matters because access risk usually increases when lifecycle events are slow, incomplete, or disconnected from the systems that rely on them.
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.
Published by the NHIMG editorial team on June 24, 2026.
Updated on October 6, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org