Machine identity management exposes the NHI governance gap

At a glance

What this is: This is a machine identity management primer that argues NHI sprawl, lifecycle gaps, and weak controls leave cloud and workload access exposed.

Why it matters: It matters because IAM, IGA, PAM, and cloud security teams have to govern service accounts, API keys, tokens, and certificates with the same rigor they apply to human access.

👉 Read Entro Security's guide to secure machine identity management

Context

Machine identity management covers the governance of service accounts, API keys, tokens, certificates, and workload identities. The core problem is not that these identities exist, but that they now outnumber the manual controls many programmes still rely on, especially as cloud-first architectures spread access across pipelines, services, and environments.

Entro Security frames this as a security and operational issue at the same time. The article shows how provisioning, documentation, monitoring, rotation, vaulting, and decommissioning all have to work together, because gaps in any one step can leave machine access both opaque and overexposed.

For identity programmes, this is the same lifecycle discipline used for human access, applied to a different actor type. The difference is scale and speed, which is why NHI governance has become a standalone control problem rather than a subtopic of general infrastructure security.

Key questions

Q: How should security teams govern service accounts and API keys at scale?

A: Start by inventorying every service account, API key, token, and certificate with a named owner, expiry, and business purpose. Then automate issuance, rotation, and revocation so access does not depend on manual tracking. The goal is to prevent stale credentials from becoming hidden standing privilege across cloud, pipeline, and application environments.

Q: Why do machine identities create more risk when they are long lived?

A: Long-lived machine identities extend the attack window and make revocation harder when teams change, systems are retired, or permissions drift. A static secret or certificate can continue to authenticate long after its original purpose has passed. That persistence turns a convenience mechanism into an enduring access path that is difficult to govern.

Q: What breaks when machine identity inventory is incomplete?

A: Rotation, revocation, and decommissioning all break down when you cannot see the full population of credentials. Incomplete inventory leaves blind spots for orphaned tokens, duplicated secrets, and over-permissioned accounts. Without visibility, security teams cannot prove ownership or identify which identities still have valid access to production systems.

Q: Who is accountable when a machine credential is compromised?

A: Accountability should sit with the system or platform owner who approved the credential, but governance should also assign operational responsibility for rotation, monitoring, and retirement. If no owner can revoke or audit the credential quickly, the organisation has created an unmanaged identity. That is a governance failure, not just an incident response issue.

Technical breakdown

How machine identity lifecycle control works

Machine identity lifecycle management starts with issuance and ends with removal. In between are classification, documentation, posture monitoring, rotation, vaulting, and decommissioning. Each step exists to preserve trust in the identity itself, not just the workload using it. If a token or service account is issued without ownership, expiry, and storage controls, the identity becomes difficult to audit and easy to misuse. Centralisation matters because it gives security teams one place to see what exists, where it lives, and whether it is still needed.

Practical implication: map every non-human identity to an owner, expiry, and revocation path before it can reach production.

Why secrets, certificates, and API keys fail without rotation

Static credentials are the weak point in most machine identity programmes. Secrets, API keys, and certificates can all authenticate workloads, but if they are long-lived or poorly tracked, they become durable attack paths. Rotation reduces exposure only when it is automated and tied to inventory, because manual renewal cannot keep pace with distributed cloud systems. Vaulting helps, but storage alone does not solve trust. The real control problem is whether the credential can be issued, renewed, and revoked without relying on human memory or ad hoc procedures.

Practical implication: treat rotation and revocation as lifecycle controls, not as one-off hygiene tasks.

How zero trust changes machine access decisions

Zero Trust Architecture changes machine identity management by requiring every workload to authenticate before access is granted. That matters because machine-to-machine communication often gets treated as trusted once it is inside the network. Entro Security’s article points to the opposite: software components, cloud functions, and APIs need explicit verification at the point of access. This is where identity and network assumptions meet, because authorization should be based on the current identity state, not on the fact that a connection already exists.

Practical implication: apply Zero Trust to workload traffic so access depends on verified identity, not network location.

Threat narrative

Attacker objective: The objective is to reuse trusted machine access as a path into cloud resources, sensitive data, or production systems without triggering human authentication controls.

1. Entry begins when machine identities are created without full classification, ownership, or lifecycle tracking, leaving service accounts, secrets, and certificates easy to lose sight of.
2. Escalation follows when over-permissive credentials or stale tokens remain active long after the workload or team that uses them has changed.
3. Impact arrives when an attacker or internal misuse path turns that standing access into unauthorised data exposure, service manipulation, or operational disruption.

Breaches seen in the wild

• 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 fails when lifecycle ownership is fragmented. The article describes provisioning, documentation, monitoring, rotation, vaulting, and decommissioning as separate steps, but the real governance gap is that no single control plane is shown to own the full lifecycle. That leaves machine access easy to create and hard to retire. The implication is that NHI programmes need lifecycle accountability, not just more tooling.

Static secrets create identity blast radius. API keys, certificates, and tokens are only as safe as their expiry, rotation, and revocation discipline. Once those controls become manual or inconsistent, each credential becomes a persistent access path rather than a temporary trust artefact. That is why machine identity security has to be treated as an entitlement problem, not just a secrets storage problem.

Zero Trust for workloads is now an identity governance requirement, not an architecture preference. The article’s software-first example shows that machine communication cannot rely on network trust or internal placement. Every workload-to-workload request still needs a current identity decision. Practitioners should treat workload verification as part of access governance, because the network boundary no longer defines trust.

NHI visibility is the control that determines whether everything else works. The article repeatedly returns to inventory, documentation, and monitoring because you cannot rotate, revoke, or decommission identities you cannot see. That makes visibility the prerequisite for both operational hygiene and auditability. For security leaders, the implication is that machine identity inventory is a governance control, not a reporting exercise.

From our research:

• 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
• Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities.
• The NHI Lifecycle Management Guide helps teams turn inventory, rotation, and offboarding into enforceable identity controls.

What this signals

Lifecycle visibility is the real differentiator in machine identity programmes. Once organisations lose track of which service accounts, tokens, and certificates still exist, rotation becomes guesswork and decommissioning becomes impossible. That is why machine identity governance should be measured by coverage, ownership, and revocation confidence, not by the number of secrets stored in a vault.

The governance pattern here is broader than cloud security. As machine identities spread across CI/CD, microservices, and infrastructure automation, the next control gap will be between credentials that exist and credentials that are actually governed. Practitioners should expect audit and incident response pressure to focus on that gap first.

A practical benchmark is whether a team can answer who owns a credential, when it expires, and how it is revoked without searching multiple systems. If that answer takes more than a few minutes, the programme still has identity debt that attackers or outages can exploit.

For practitioners

• Build a complete machine identity inventory Track every service account, API key, token, and certificate with owner, expiry, system, and business purpose so no credential exists outside governance.
• Automate credential rotation and revocation Replace manual renewal with lifecycle automation for secrets, certificates, and service accounts so standing access does not outlive the workload that uses it.
• Centralise vaulting and usage monitoring Store machine credentials in a controlled vault, then monitor usage patterns for stale, duplicated, or unexpectedly broad access across cloud and pipeline environments.
• Apply Zero Trust to workload authentication Require explicit verification for every machine-to-machine request, especially where cloud functions, microservices, and CI/CD pipelines interact with production data.

Key takeaways

• Machine identity management is fundamentally a lifecycle governance problem, not just a secrets storage problem.
• Invisible or long-lived machine credentials expand the attack surface across cloud and pipeline environments.
• Practitioners should prioritise inventory, rotation, revocation, and Zero Trust verification as linked controls.

Key terms

• Machine Identity: A machine identity is the credentialed identity assigned to a non-human system such as a service account, API key, token, certificate, or workload. It authenticates software and infrastructure so they can exchange data and actions securely. In practice, it must be owned, monitored, rotated, and retired like any other access path.
• Lifecycle Management: Lifecycle management is the process of governing an identity from creation through use, review, rotation, and removal. For machine identities, it matters because credentials can persist long after the workload changes, making ownership, expiry, and decommissioning essential to control risk.
• Zero Trust Architecture: Zero Trust Architecture is an access model that requires verification before trust is granted, rather than assuming internal systems are safe. For machine identities, it means every workload-to-workload request must be authenticated and authorised based on current identity state, not network location.

What's in the full article

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

• Step-by-step examples of how machine identity lifecycle stages map to provisioning, monitoring, and decommissioning.
• Practical discussion of secrets, certificates, and service accounts in CI/CD pipelines and cloud environments.
• Examples of how Zero Trust principles apply to software-to-software authentication in enterprise systems.
• Vendor-specific platform details on automation and anomaly detection for teams that need implementation guidance.

👉 Entro Security's full blog covers lifecycle stages, Zero Trust examples, and machine identity best practices in more detail.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security 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.