Machine identity management gaps are widening across enterprise stacks

At a glance

What this is: This is an analysis of machine identity management gaps and the finding that machine identities are outpacing the controls used to govern them.

Why it matters: It matters because IAM teams cannot treat service accounts, API keys, tokens, and certificates as inventory alone; they need lifecycle, privilege, and rotation control to keep machine access governable.

By the numbers:

• 69% of companies now manage more machine identities than human ones.
• 72% admit that managing them is more difficult due to poor internal processes and inadequate tools.

Context

Machine identity management is the discipline of discovering, governing, and revoking non-human credentials such as service accounts, API keys, tokens, certificates, and bots. In this article, Apono argues that machine identities have become the backbone of enterprise infrastructure faster than governance has adapted.

The core problem is not that these identities exist. It is that they often carry broad privileges, weak authorization, and inconsistent lifecycle handling, which makes shadow identities, orphaned credentials, and policy drift far harder to control than most IAM programmes assume.

For IAM and NHI practitioners, this is a familiar pattern: scale creates blind spots, and blind spots become privilege sprawl unless discovery, ownership, rotation, and revocation are treated as one governance loop rather than separate tasks.

Key questions

Q: What breaks when machine identities have no clear owner?

A: When machine identities have no clear owner, offboarding, remediation, and accountability all fail together. Credentials may still be logged, but no one is responsible for validating purpose, reducing scope, or revoking access when the system changes. That creates governance debt and makes incident response slower and less reliable.

Q: What problem does ownership attribution solve for service accounts and API keys?

A: It closes the gap between exposure detection and accountable remediation. Many organisations can find the secret, but not the human who introduced it, maintains it, or can safely replace it. Ownership attribution gives security teams a practical way to assign action without relying on informal knowledge that disappears during staff changes.

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 is the difference between JIT access and static machine permissions?

A: JIT access exists only for a defined task window and then disappears, while static permissions persist until someone manually changes them. For machine identities, that difference matters because persistent access turns forgotten credentials into standing attack paths, while JIT reduces the duration of exposure.

Technical breakdown

Why machine identity sprawl breaks traditional IAM models

Machine identities are not human accounts with interactive logins, so controls built around password resets, user prompts, and predictable login behaviour do not map cleanly. They are created by code, embedded in pipelines, and reused across services, which makes ownership and lifecycle harder to track. When the identity estate grows faster than the catalogue, traditional IAM loses the ability to answer basic questions about who owns what, where it is used, and whether it still needs access.

Practical implication: Treat machine identity inventory and ownership as a separate control plane, not as an extension of human IAM.

Why standing privilege magnifies machine identity risk

A machine identity that can act broadly has a much larger blast radius than a tightly scoped one because compromise of the credential is compromise of the permissions attached to it. The article’s examples show the recurring pattern: static API keys, long-lived tokens, and service accounts with excessive permissions create durable access paths. In NHI governance terms, the problem is not merely exposure, but persistence of access after the original need has passed.

Practical implication: Scope machine identities to the smallest resource set and remove any access that does not have a current operational owner.

How lifecycle drift creates orphaned credentials and shadow identities

Lifecycle management for machine identities must cover creation, usage, rotation, deprovisioning, and revocation. Without that end-to-end loop, credentials outlive the system, team, or deployment that created them, which is how orphaned secrets and shadow identities emerge. The article correctly ties this to automation because manual review cannot keep pace with API-driven environments, CI/CD pipelines, and ephemeral workloads.

Practical implication: Automate issuance, expiry, rotation, and revocation so machine identity lifecycle state stays aligned with runtime reality.

Threat narrative

Attacker objective: The objective is to exploit unmanaged machine credentials to move laterally, access sensitive data, or disrupt critical systems without triggering normal user-centric controls.

1. Entry occurs when a machine identity is created outside consistent governance, often as a service account, API key, or token embedded in code or automation.
2. Credential abuse follows when that identity carries excessive or static permissions and the original owner can no longer account for where it is used.
3. Escalation happens when the credential is reused across systems, allowing broader access than the original task required and increasing blast radius.
4. Impact is unauthorized access to cloud services, data stores, or production workflows without the visibility that conventional IAM relies on.

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

Machine identity governance has moved from inventory management to access governance. Discovery matters, but the article shows that discovery alone does not reduce risk when service accounts, API keys, and tokens still carry standing privilege. The discipline now has to connect attribution, ownership, authorisation, and revocation into one operating model. That is the point at which machine identity management becomes a real control function rather than a spreadsheet exercise.

Standing privilege is the failure mode that most often turns machine identity sprawl into breach exposure. The article’s recurring examples all share the same pattern: long-lived credentials, broad permissions, and weak offboarding. That combination creates a control gap that attackers can reuse long after the original deployment has been forgotten. Practitioners should read that as a governance problem, not a tooling problem.

Lifecycle drift is the named concept that best explains why machine identity programmes fail at scale. Creation is automated, but deprovisioning is not, so credentials survive beyond the workload, team, or service that justified them. The result is orphaned access that no human team can reliably enumerate after the fact. The implication is that machine identity governance must be designed around runtime truth, not around provisioning-time intent.

Zero trust only becomes meaningful for machine identities when privilege is continuously revalidated. The article’s JIT and JEP guidance aligns with that reality, but the deeper point is that static trust assumptions collapse when identities are generated programmatically and reused across environments. A machine identity is not secure because it exists inside a modern stack; it is secure only when its access is constrained, observable, and time-bound.

NHI governance now sits on the same risk boundary as compliance and operational resilience. The article correctly notes that unmanaged machine identities complicate auditability, change control, and incident containment. That makes them a cross-functional control issue, not just an infrastructure concern. Security teams that still treat machine identities as secondary assets will keep inheriting hidden privilege and avoidable exposure.

From our research library:

• Only 5.7% of organisations have full visibility into their service accounts, 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: Service Account Security Guide

What this signals

Lifecycle drift is the control gap IAM teams need to watch first: machine identities are created at machine speed, but offboarding and revocation still behave like human processes. That mismatch leaves stale credentials alive long after the workload, pipeline, or service should have lost access.

Access review is not enough on its own: machine identities often exist as service accounts, API keys, and tokens with no meaningful human interaction, so governance has to move toward issuance-time controls, automated expiry, and continuous ownership checks rather than periodic review cycles.

Machine identity sprawl is now a programme design issue, not a point-in-time cleanup exercise: teams that centralise discovery, privilege scope, and revocation policy will be better placed to contain blast radius as cloud services and automation continue to multiply non-human access.

For practitioners

• Define machine identity ownership Map every service account, API key, token, certificate, and bot to a named business or technical owner so accountability survives team and deployment changes.
• Automate lifecycle controls Enforce issuance, rotation, expiry, and revocation as one workflow so credentials do not outlive the workload or application that created them.
• Reduce standing privilege Review machine identity entitlements for broad roles, then replace persistent access with just-in-time, task-scoped permissions wherever the workload can tolerate it.
• Centralise discovery and monitoring Build a continuously updated inventory that ties each credential to its runtime usage, audit trail, and current authorization scope.
• Use anomaly detection on machine behaviour Baseline expected activity for each identity and alert on unexpected resource access, privilege escalation, or cross-environment use.

Key takeaways

• Machine identity risk is driven less by existence than by unmanaged lifecycle, broad permissions, and weak ownership.
• The article ties the problem to scale, with 69% of companies managing more machine identities than human ones and 72% saying the work is harder than expected.
• Practitioners should focus on inventory, revocation, and privilege reduction together, because isolated controls do not stop shadow credentials from becoming standing access.

Key terms

• Machine Identity: The digital identity of a machine, device, or workload, such as a server, container, or VM, used to authenticate it within a network. Sometimes used interchangeably with NHI, though NHI is the broader category.
• Shadow Machine Identity: A shadow machine identity is a credential or account that exists and can authenticate, but is not visible to security teams through normal governance processes. These identities are dangerous because they often retain excessive access, bypass review, and persist long after the workload that created them has changed.
• Lifecycle Drift: Lifecycle drift is the gap between the intended state of an identity and the access that remains active in systems after the business context changes. It often appears as delayed revocation, stale privileges, or unowned credentials, and it is a practical indicator that governance is out of sync.
• Standing Privilege: Standing privilege is access that remains active even when no immediate task requires it. For NHI programmes, it is a common failure mode because long-lived credentials and persistent roles create unnecessary exposure. Reducing standing privilege usually means tighter expiry, on-demand access, and clearer review of who or what still needs access.

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.