TL;DR: Machine identities now span CI/CD pipelines, cloud services, microservices, and certificates, but Entro Security says the lifecycle is still too often handled with fragmented visibility, manual classification, and weak rotation discipline. That makes machine identity management a governance problem, not just an operational one.
At a glance
What this is: This is a machine identity management analysis arguing that the main risk is governance fragmentation across provisioning, classification, rotation, vaulting, and decommissioning.
Why it matters: It matters because IAM, PAM, and NHI programmes cannot secure machine identities reliably if ownership, inventory, and lifecycle control remain manual and inconsistent.
Context
Machine identity management is the discipline of issuing, classifying, securing, rotating, and retiring non-human identities such as service accounts, tokens, keys, certificates, and workload credentials. The governance gap appears when these identities are spread across CI/CD pipelines, cloud services, microservices, and containers without a consistent ownership and lifecycle model.
Entro Security frames the issue as more than a technical inventory problem. The article argues that manual documentation, fragmented visibility, and inconsistent rotation leave organisations unable to govern machine identities at enterprise scale, even when those identities are central to zero trust and cloud operations.
For IAM and NHI teams, the core question is not whether machine identities exist, but whether the programme can keep pace with their creation, use, and retirement across distributed environments.
Key questions
Q: What breaks when machine identities are not governed like first-class identities?
A: Access becomes persistent, hard to attribute, and easy to overextend across systems. Without lifecycle control, a service account or API key can survive long after its purpose changes, creating a standing credential risk that traditional human IAM reviews are unlikely to catch. The result is larger blast radius and weaker accountability.
Q: Why do unmanaged apps and machine identities increase identity risk?
A: Because they can authenticate to critical systems without going through the same lifecycle controls used for human users. That means access may persist after business need changes, monitoring may miss the true actor, and revocation can lag behind exposure. Once access falls outside the managed control plane, governance becomes partial by design.
Q: How do teams know if machine identity governance is actually working?
A: Look for evidence that each service account has a current owner, a narrow purpose, a short credential lifetime, and a clear retirement path. If any of those are missing, the programme may appear controlled on paper while still leaving durable access paths in production.
Q: What do security teams get wrong about workload identity in cloud and CI/CD environments?
A: They often assume short-lived credentials automatically create good governance. In practice, the registration process, delegation semantics, and audit trail matter just as much as token lifespan. Without those layers, a workload can remain identifiable while still being difficult to control or investigate.
Technical breakdown
Why machine identity lifecycle breaks at enterprise scale
Machine identity management depends on a complete lifecycle model: provisioning, classification, posture management, rotation, vaulting, and decommissioning. The failure mode is not the absence of tools alone, but the breakdown of governance across those stages when teams cannot reliably map identity to owner, purpose, expiry, and permissions. In practice, that means a service account may exist, be used, and be forgotten long before it is reviewed. Once lifecycle state is unclear, policy enforcement becomes inconsistent and incident response loses context.
Practical implication: build a lifecycle inventory that ties every machine identity to ownership, purpose, expiry, and revocation path.
How weak visibility turns NHI into a hidden access layer
Machine identities often become the hidden access layer for CI/CD, cloud APIs, and microservices because they operate outside the attention of human IAM controls. That creates a trust problem: the identity is authenticating systems, but its existence, scope, and renewal state are not equally visible to security teams. Entro Security highlights classification and documentation as especially weak, because manual tracking does not scale with the volume and diversity of these identities. When documentation lags behind reality, the organisation loses the ability to answer basic questions about who or what can act in production.
Practical implication: centralise discovery and classification so machine identities are visible before they become operational dependencies.
Why rotation and revocation are governance controls, not housekeeping
Rotation, renewal, revocation, and decommissioning are often treated as maintenance tasks, but for NHI they are governance controls that bound exposure. Static secrets, long-lived certificates, and service accounts with unclear expiry increase the window in which stolen or forgotten credentials can be abused. The article connects this to zero trust by showing that authenticated machine communication still needs continuous verification and disciplined lifecycle change. Without systematic rotation and retirement, the same identity can outlive the workload that created it and remain valid long after its business purpose has ended.
Practical implication: treat rotation and decommissioning as control objectives with ownership, cadence, and exception review.
Threat narrative
Attacker objective: The attacker aims to impersonate trusted machines, bypass authentication controls, and gain access to sensitive systems or data through valid NHI credentials.
- Entry occurs when a machine identity is created for CI/CD, cloud, or microservice use but is left poorly documented or poorly scoped.
- Credential access follows when secrets, keys, tokens, or certificates remain exposed, stale, or too widely usable across environments.
- Escalation happens when over-permissive service accounts or reused identities let an attacker move from a single workload to broader infrastructure access.
- Impact is unauthorized access, data breach, service disruption, or integrity loss through misuse of trusted machine authentication.
Breaches seen in the wild
- Secrets in Docker Hub images (RWTH Aachen study): A 2023 RWTH Aachen study found secrets in 8.5% of container images, and 275,269 internet hosts still using the leaked private keys.
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 fails when machine identity lifecycle is treated as an admin task rather than a security boundary. Provisioning, classification, rotation, vaulting, and decommissioning are not separate hygiene chores. They are the control plane that determines whether a machine identity can be trusted at all. When ownership and expiry are tracked manually, the programme no longer governs identity, it merely records that identity exists.
Manual classification is the governance gap that lets machine identities disappear into production dependency chains. The article’s own description of documentation gaps reflects a common enterprise failure mode: the identity exists, but its owner, purpose, and scope are unclear. That is why visibility problems are not cosmetic. They prevent certification, revocation, and exception handling from being performed with confidence, which means the identity estate becomes structurally ungovernable.
Rotation discipline is a trust control, not a convenience feature. When secrets, tokens, and certificates are allowed to persist without a lifecycle policy, organisations are effectively betting that exposure will never matter. That is a weak assumption in cloud and CI/CD environments, where identities are created quickly and reused widely. The practical conclusion is that lifecycle control must be designed as a governance control, not delegated to ad hoc operational practice.
Machine identity management is converging with Zero Trust because both depend on continuous verification of non-human access. The article shows that authenticated systems still need scope, ownership, and revocation discipline if trust is to remain bounded. As machine identities spread across cloud services and microservices, the security question shifts from whether they are authenticated to whether they are still justified. Practitioners should treat machine identity governance as part of Zero Trust execution, not as a separate inventory project.
Enterprise scale changes the risk equation more than the technology stack does. CI/CD pipelines, cloud infrastructure, and microservices all multiply the number of credentials that can be misclassified, over-permissioned, or forgotten. The governance response therefore has to be lifecycle-led, with consistent classification and decommissioning rules across environments. The practitioner takeaway is that machine identity management must be run as a cross-domain identity programme, not as a point solution for secrets alone.
From our research library:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
- Read next: Ultimate Guide to NHIs
What this signals
Ephemeral trust debt: machine identities create security debt when they are issued quickly but retired slowly, leaving an expanding set of credentials that outlive their business purpose. That debt is visible in cloud and CI/CD estates first, then turns into audit friction and revocation lag.
Governance teams should expect machine identity control to sit closer to lifecycle management than to classic user administration. The same programme that governs ownership, review, and retirement for humans now has to do that work for workloads, service accounts, and certificates as well.
For practitioners
- Build a machine identity inventory Track every service account, token, key, and certificate with an owner, purpose, environment, expiry, and revocation path.
- Automate lifecycle events Replace manual renewal and revocation with policy-driven workflows for issuance, rotation, and decommissioning across CI/CD and cloud workloads.
- Tighten classification and documentation Require identity registration before production use so teams can prove what each machine identity is, where it runs, and why it exists.
- Review over-permissioned service accounts Identify identities that can reach more systems than their current workload requires and remove unused access before the next renewal cycle.
Key takeaways
- Machine identity management is a governance problem when ownership, classification, and lifecycle state cannot be kept current across distributed environments.
- The article links the risk to CI/CD pipelines, cloud services, microservices, and certificates, where manual documentation and inconsistent rotation leave identities hard to control.
- Practitioners need central inventory, automated lifecycle control, and explicit revocation paths if machine identities are to remain trustworthy.
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, 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-02 — Secret Leakage | The article centers on exposed and poorly governed machine credentials. |
| NHI-05 — Overprivileged NHI | The post highlights over-permissive service accounts and broad machine access. | |
| NHI-07 — Long-Lived Secrets | Rotation discipline is a core theme in the lifecycle discussion. | |
| Recommendation — Scan for leaked machine secrets and revoke exposed credentials immediately. Review machine identities for excess permissions and trim access to the minimum workload need. Shorten secret and certificate lifetimes to reduce the abuse window for machine identities. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | The lifecycle of machine credentials is directly governed by authenticator management. |
| Recommendation — Apply IA-5 to enforce rotation, renewal, and revocation for machine authenticators. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article emphasizes ownership, permissions, and authorization for non-human identities. |
| Recommendation — Map machine identity entitlements to PR.AA-05 and remove unused authorizations on a fixed cadence. | ||
| NIST Zero Trust (SP 800-207) | Continuous verification — Continuous verification | The article links machine identity governance to Zero Trust for authenticated workloads. |
| Recommendation — Use continuous verification to reassess machine access as workload conditions change. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | Leaked machine credentials enable credential access and subsequent movement across environments. |
| Recommendation — Map exposed machine credentials to TA0006 and TA0008 to prioritise detection and containment. | ||
Key terms
- Machine Identity Management: Machine Identity Management is the discipline of discovering, issuing, securing, rotating, and retiring digital identities used by machines and software. It covers certificates, keys, tokens, secrets, and workload credentials, with controls for lifecycle, ownership, authentication, authorization, and auditability across cloud, application, endpoint, and infrastructure environments.
- Lifecycle Management: Lifecycle management is the process of creating, reviewing, rotating, and retiring identities and their secrets in a controlled way. For NHIs, it is essential because stale credentials, orphaned accounts, and incomplete offboarding are common paths to long-lived exposure and unauthorised access.
- Secrets Rotation: Secrets rotation is the practice of replacing credentials on a schedule or after an event so exposed values stop working quickly. In NHI programmes, rotation must be tied to ownership and automation, otherwise credentials remain valid long after teams believe the risk has been addressed.
- Workload Identity: The identity assigned to a software workload, such as a containerised application, serverless function, or microservice, enabling it to authenticate to other services without storing static credentials.
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 23, 2026.
Updated on October 6, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org