Non-human identity security gaps are still wider than human IAM

At a glance

What this is: This is an overview of non-human identity security risks and controls, with the key finding that machine identities are still governed less consistently than human access.

Why it matters: It matters because IAM, NHI, and PAM teams need the same lifecycle discipline for machine access that they already apply to human users, or over-privilege and orphaned credentials will keep widening the attack surface.

By the numbers:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.

👉 Read Entro Security's analysis of non-human identity security challenges and controls

Context

Non-human identity security is the problem of governing machine-to-machine access, including service accounts, API keys, tokens, certificates, and cloud roles. The core issue is that these identities often operate continuously and autonomously, but are still managed with weaker inventory, rotation, and offboarding discipline than human accounts.

Entro Security's article argues that this gap shows up across containers, cloud services, DevOps tools, software supply chains, and RPA bots. For IAM and security teams, the important point is not that machines need different governance logic, but that the same lifecycle controls must be applied with far more rigor to non-human access.

For practitioners looking to ground that work in a broader reference model, the Ultimate Guide to NHIs remains the clearest baseline for the governance, visibility, and lifecycle problems that keep repeating across environments.

Key questions

Q: How should security teams govern service accounts and API keys in cloud environments?

A: Treat them as first-class identities with ownership, expiry, and least-privilege scoping. Inventory every credential, map it to a workload or application, rotate it on schedule, and revoke it when the underlying job ends. The goal is to prevent machine access from becoming long-lived standing privilege in cloud and DevOps environments.

Q: Why do over-privileged non-human identities increase breach risk?

A: Because a single compromised secret can unlock more systems than the workload actually needs. When an NHI has broad permissions, attackers can move laterally, access adjacent services, and deepen their foothold without needing separate credentials. Excess privilege turns one identity into a much larger blast radius.

Q: What do teams get wrong about NHI rotation and offboarding?

A: They rotate credentials but fail to revoke them when the application, integration, or vendor relationship ends. That leaves old secrets valid after their intended use, which is exactly how orphaned access persists. Rotation only reduces risk when it is paired with ownership and lifecycle offboarding.

Q: Who should be accountable for third-party NHI access?

A: The business owner of the integration should be accountable, supported by IAM or security operations for enforcement. Third-party credentials need the same lifecycle discipline as internal machine identities, including approval, expiry, revalidation, and revocation. If no owner can approve removal, the access is already poorly governed.

Technical breakdown

Why machine identities are different from human identities

Human identities are tied to people, personal accountability, and interactive authentication flows. Non-human identities are tied to software execution, which means they authenticate continuously, often through secrets that are embedded in code, deployed into pipelines, or attached to cloud workloads. That changes the control problem. The identity may be legitimate, but the operational context can shift faster than traditional review cycles can detect. If the credential is copied, over-scoped, or left in place after its job is complete, the identity becomes a standing pathway into systems rather than a bounded access mechanism.

Practical implication: inventory machine identities by workload, owner, and credential type so access can be governed as an operational asset, not as a generic account.

How over-privileged service accounts become lateral movement paths

Service accounts and cloud roles are meant to let software call other software without human intervention. The risk appears when those identities are granted broader permissions than the application actually needs, or when those permissions are reused across environments. In that state, compromise of one secret can lead to privilege escalation, lateral movement, or access to adjacent systems and data. The problem is not simply the existence of a machine identity. It is the combination of continuous access, poor scoping, and weak lifecycle controls that lets one compromised credential become a larger breach path.

Practical implication: review service-account privileges against actual application behaviour and remove inherited access that is not required for runtime operation.

Secrets management, rotation, and offboarding for NHIs

Secrets are the authentication layer for many NHIs, and they fail when they remain valid too long, appear in source repositories, or survive after the workload or vendor relationship changes. Rotation reduces exposure time, but rotation without ownership and offboarding still leaves orphaned credentials behind. That is why NHI governance has to include inventory, lifecycle tracking, and revocation, not just vaulting. The real technical weakness is persistence. If a key is still valid after it is no longer needed, the identity has already outlived its operational purpose and become residual risk.

Practical implication: connect rotation to offboarding so revoked workloads, pipelines, and third parties do not leave valid credentials behind.

Threat narrative

Attacker objective: The attacker wants to turn one compromised machine credential into broad, persistent access across production systems, data, and automation pipelines.

1. Entry occurs through exposed secrets, including API keys, cloud tokens, or credentials embedded in code, CI/CD systems, or third-party access paths.
2. Escalation follows when the compromised non-human identity has more privilege than the workload needs, allowing access to adjacent systems, data, or administrative functions.
3. Impact arrives as attackers move laterally, exfiltrate data, disrupt systems, or reuse the same identity path to deepen their foothold across cloud and development environments.

Breaches seen in the wild

• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
• Dropbox Sign breach — compromised Dropbox Sign service account exposed API keys and OAuth tokens.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Non-human identity governance is still being treated as a technical hygiene problem, when it is really a lifecycle problem. The article correctly points to visibility, monitoring, and rotation, but the deeper failure is that many organisations still do not know who owns a machine credential, when it should be revoked, or what workload it actually serves. That is why orphaned access keeps appearing in cloud, DevOps, and third-party environments. Practitioners should treat NHIs as governed identities with clear lifecycle states, not as incidental configuration artefacts.

Over-privilege is the defining failure mode in machine identity programmes. Entro Security's article repeatedly returns to excessive permissions, and that is the right emphasis because most NHI breaches do not require sophisticated exploitation when access is already broader than necessary. A service account that can reach more systems than its workload needs creates an identity blast radius that far exceeds its intended function. The implication is that least privilege must be enforced as an operating model, not as a one-time provisioning standard.

Vendor, pipeline, and workload access without lifecycle offboarding is the control gap that keeps turning temporary access into permanent exposure. The article's discussion of third-party tools, cloud services, and CI/CD secrets shows the same pattern across domains. Access is granted for a task, then left behind after the task ends, creating long-lived trust debt. The practitioner conclusion is straightforward: if offboarding is not tied to ownership and expiry, machine access will outlive the business need that justified it.

Traceability is the missing governance primitive for non-human identities. The article notes how hard it can be to tell which NHI caused a problem after the fact, and that matters because incident response depends on attribution, ownership, and revocation speed. Without those links, teams can detect exposure but still fail to contain it cleanly. Security leaders should treat traceability as a control requirement, not just a forensic convenience.

Machine identity security now spans code, cloud, containers, and automation, so isolated tools will not close the gap. The article's breadth is itself the warning signal. The same identity pattern appears in API keys, service accounts, containers, SaaS integrations, and RPA bots, which means the programme has to unify governance across engineering and security teams. Practitioners need a single operating model for visibility, privilege, rotation, and revocation across every place an NHI can live.

From our research:

• 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, which explains why machine access keeps slipping outside governance.
• For a broader breach lens, see 52 NHI Breaches Analysis, which shows how exposure patterns turn into incidents when identity ownership and revocation are weak.

What this signals

Ephemeral access only reduces exposure if revocation keeps pace with business change. In many programmes the bottleneck is not issuance but cleanup, and that is where machine identity risk accumulates. The fact that 91.6% of secrets remain valid five days after notification shows how slow remediation can be relative to attacker use. Teams should measure expiry, ownership, and revocation as operational signals, not as back-office housekeeping.

The next phase of NHI governance will be defined by traceability across code, cloud, and third-party delegation. If teams cannot quickly answer which workload owns a secret and whether it is still needed, they cannot contain exposure with confidence. That is why programmes built only around vaulting will keep underperforming until lifecycle and accountability are treated as the real control plane.

For practitioners

• Build a complete NHI inventory Catalog service accounts, API keys, tokens, certificates, cloud roles, container credentials, and third-party machine access by owner, system, and expiry so no identity is left untracked.
• Enforce privilege-by-function reviews Compare each non-human identity's granted permissions to the actual workload it supports, then remove inherited access, cross-environment reuse, and any standing privilege that the application does not need.
• Tie rotation to revocation Automate key and token rotation, but also revoke credentials when applications, pipelines, or vendors are decommissioned so old secrets do not remain usable after their business purpose ends.
• Track third-party machine access as a separate governance class Require named ownership, approved expiry, and periodic revalidation for vendor tokens and OAuth-style access, because delegated access often survives longer than the relationship that created it.

Key takeaways

• Non-human identity risk is not a niche problem. It is the main way machine access escapes the control model built for human users.
• The evidence points to persistent exposure, with privilege excess, weak visibility, and slow revocation combining into a repeatable breach pattern.
• Teams need one lifecycle model for machine identities, because rotation, ownership, and offboarding only work when they are enforced together.

Key terms

• Non-Human Identity: A non-human identity is any credentialed digital entity used by software rather than a person. It includes service accounts, API keys, tokens, certificates, cloud roles, and bot identities. Governance focuses on ownership, privilege, lifecycle, and revocation, because these identities often outlast the task they were created to perform.
• Secrets Lifecycle Management: Secrets lifecycle management is the process of creating, storing, rotating, revoking, and retiring credentials used by machines and applications. It is not just vaulting. The control becomes effective only when it covers issuance, usage, expiry, and offboarding so old secrets cannot remain valid after their business purpose ends.
• Standing Privilege: Standing privilege is access that remains continuously available instead of being granted only when needed. In NHI environments, it is especially risky because machine accounts often operate without human review and can be reused across systems. Persistent access widens the blast radius when a secret or service account is compromised.
• Identity Traceability: Identity traceability is the ability to link an action, event, or security incident back to the specific identity that performed it. For NHIs, traceability depends on reliable ownership, logging, and context across cloud, code, and automation platforms. Without it, incident response can detect exposure but still fail to attribute or contain it cleanly.

What's in the full article

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

• The article's category-by-category examples for API keys, service accounts, containers, cloud services, DevOps tools, supply chain, and RPA bots.
• The vendor's practical checklist for monitoring, rotation, least privilege, and secrets management across specific NHI types.
• The article's stepwise explanation of where visibility breaks down and how unmanaged machine identities create attack paths.
• The vendor's closing guidance on centralised governance and adaptive IAM for non-human identities.

👉 The full Entro Security post covers the specific NHI types, risks, and mitigation patterns in more operational 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.