Top 10 non-human identity risks and the controls that fail

At a glance

What this is: This blog ranks the top non-human identity risks and shows how offboarding, storage, rotation, authentication, sharing, third-party access, stale identities, overprivilege, shadow identities, and long-term credentials fail in practice.

Why it matters: IAM, PAM, and NHI teams should treat machine identity as a lifecycle governance problem, because the controls that protect human access often fail when credentials are static, shared, or spread across systems.

By the numbers:

• As the number of non-human identities grows faster than human ones, the ratio is about 1:10 according to Microsoft research cited by Token Security.

Context

Non-human identity governance is the practice of controlling service accounts, API keys, tokens, certificates, and other machine credentials across their full lifecycle. Token Security's article argues that these identities are multiplying faster than human accounts, while control models remain fragmented across hybrid and multi-cloud estates.

The result is not a single flaw but a set of recurring control failures: orphaned identities after offboarding, insecure credential storage, weak or static authentication, overprivilege, and long-lived access that outlasts its business purpose. That pattern is typical of mature enterprise environments where machine identities have spread faster than ownership and governance.

The article is therefore less about discovery than about the limits of current NHI control design. It shows what breaks when lifecycle ownership, rotation discipline, and least-privilege enforcement are applied inconsistently across different types of machine access.

Key questions

Q: What breaks when non-human identities are not offboarded properly?

A: Orphaned NHIs remain valid long after the workload or integration they served is gone, which gives attackers a durable access path. The failure is not just administrative drift. It is living authentication that no longer has a legitimate owner, so compromise can happen through forgotten keys, tokens, or service accounts.

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 should security teams handle secrets they cannot confidently map to an NHI?

A: Treat the secret as an unresolved governance item, not an immediate rotation candidate. Quarantine the finding, enrich it with runtime and IAM context, and only automate remediation when ownership, dependency, and usage confidence are high enough to avoid breaking production access.

Q: When does third-party NHI access become a governance problem?

A: It becomes a governance problem when vendor access is broad, long-lived, or poorly monitored, because the partner's identity can outlive the business need and blend into normal activity. Teams should review third-party scope, usage, and offboarding with the same discipline they apply to internal machine identities.

Technical breakdown

Why incomplete offboarding creates orphaned machine access

Incomplete offboarding happens when a human account is closed but the non-human identities that person created or managed are left active. Those leftover service accounts and API keys can still authenticate to systems long after ownership has disappeared, which means access survives without accountability. In governance terms, the lifecycle control fails because the identity is not tied to the leaver event for the machine credential itself. Once ownership is lost, routine access review often misses the credential because it is not presented as a human account. The practical outcome is persistent access without a current business owner.

Practical implication: track NHI ownership separately from employee accounts and treat employee departure as a trigger to revalidate every credential they managed.

How insecure credential storage expands the blast radius

NHI credentials are often copied into code, endpoint storage, password managers, and secret stores that are too broadly accessible. That turns a single secret into many exposure points, each of which can be compromised independently. The technical problem is not only leakage, but also uncontrolled duplication across environments that were never meant to share trust boundaries. Once a token, key, or secret appears in repositories, local files, or shared vaults, an attacker needs only one weak point to recover the credential and impersonate the workload. The result is a larger attack surface than the original NHI was intended to have.

Practical implication: inventory every storage location for secrets and restrict each one to the smallest possible trust boundary.

Why shared and long-lived credentials defeat least privilege

Shared NHIs and long-lived credentials make it hard to bind access to a single workload, team, or purpose. When multiple systems use the same API key or service account, privilege accumulates to satisfy all of them, so the credential becomes broader than any one use case. Long-lived credentials make the problem worse because compromise window and reuse window are both extended. This creates an identity that is both hard to attribute and hard to safely narrow over time. In practice, least privilege becomes aspirational rather than enforceable because the credential's scope is defined by convenience, not by workload-specific need.

Practical implication: issue unique credentials per workload and force scope reviews whenever one identity is reused across systems.

Threat narrative

Attacker objective: The attacker wants durable access to business systems and data through a machine identity that outlives its owner and retains more privilege than it should.

1. Entry occurs when an attacker finds an orphaned service account, exposed API key, or shared credential that was left active after a role change or project end.
2. Credential access then follows through insecure storage, static reuse, or long-lived tokens that can be copied from code, endpoints, vaults, or third-party integrations.
3. Escalation and lateral movement happen when the credential is overprivileged or shared across multiple systems, allowing the attacker to reach adjacent services with the same identity.
4. Impact is unauthorized access to data, cloud resources, or production systems, often with delayed detection because the credential looks like legitimate machine activity.

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.
• Hugging Face Spaces breach 2024: Unauthorised access to Hugging Face Spaces may have exposed secrets users stored for AI apps; tokens were revoked and org tokens removed.

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

NHI Mgmt Group analysis

Incomplete offboarding is a lifecycle failure, not just an administration gap. The control breaks because the business deactivates the human account but leaves the machine credential outside the leaver process. That means service accounts and API keys survive the person who created them, which severs ownership from access. The implication is that NHI governance must treat offboarding as an identity event for the credential itself, not only for the employee record.

Shared machine credentials create identity blast radius. When one key or service account is used by multiple systems, the compromise of any one consumer becomes a compromise of the whole credential estate. The article's examples show how this leads to both attribution problems and overprivilege, because the shared identity has to satisfy the broadest set of use cases. Practitioners should read this as a governance signal that reuse multiplies risk faster than visibility can contain it.

Long-lived secrets create trust debt. Every static credential assumes the organisation can store, monitor, and revoke it fast enough to keep up with exposure, but the article shows that assumption repeatedly fails. The longer a key stays valid, the more places it can be copied and the harder it becomes to prove it is still necessary. This is why lifecycle governance, not just rotation, is the decisive control boundary for machine identities.

Overprivileged NHIs turn routine access into breach amplification. The article repeatedly ties excessive permissions to lateral movement, data exfiltration, and broader environmental compromise. That is a governance problem because the credential is doing more than the workload requires, so compromise of one identity becomes compromise of adjacent systems. The practical conclusion is that machine identity scope must be justified per workload, not inherited from convenience or platform defaults.

Third-party NHIs need offboarding and scoping discipline as much as internal ones. Vendor integrations often rely on long-term credentials and broad access, which means compromise can masquerade as normal partner activity. The article's third-party scenarios show that delayed detection is part of the threat model, not an edge case. That makes external machine identity governance a lifecycle and monitoring issue, not a one-time trust decision.

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.
• Read next: Ultimate Guide to NHIs — Key Challenges and Risks

What this signals

Identity blast radius: Shared credentials, broad permissions, and stale ownership combine into a single failure mode that makes a machine identity compromise spread farther than teams expect. The control question is no longer whether a secret exists, but how far that secret can move if it is abused.

The operational signal for practitioners is that NHI governance now has to behave like lifecycle governance, not like isolated secret management. Offboarding, rotation, and scoping only work when every credential has an owner, a purpose, and an expiry path.

A useful benchmark is whether your programme can explain, for every service account or key, who owns it, why it exists, where it is stored, and how quickly it can be revoked. If any of those answers are unclear, the governance model is already behind the attack surface.

For practitioners

• Assign explicit ownership to every NHI Map each service account, API key, token, and certificate to a named owner who is responsible for lifecycle decisions, usage review, and deletion when the business need ends.
• Tighten offboarding for machine identities When an employee leaves or a project closes, review the NHIs they created or managed and either reassign ownership or revoke them immediately if they are no longer needed.
• Reduce secret spread across storage locations Scan repositories, password managers, endpoints, and secret stores for duplicated credentials and remove copies that are not required by the workload's trust boundary.
• Eliminate shared credentials where possible Issue unique, least-privileged credentials for each application or workload so that one compromise does not automatically extend to other systems.
• Set hard rotation and expiry rules Use short-lived credentials wherever the platform allows, and require a documented exception for any long-lived secret that cannot be replaced.

Key takeaways

• Non-human identity risk is fundamentally a lifecycle and scoping problem, not just a discovery problem.
• The article shows how orphaned, shared, and long-lived credentials turn routine access into breach exposure.
• Practitioners should anchor NHI governance in ownership, narrow privilege, and enforced retirement of unused access.

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.
• Orphaned NHI: An orphaned NHI is a non-human identity that remains active without a clear owner, business purpose, or lifecycle path. These identities often survive employee departures, application changes, or missed deprovisioning steps, which makes them difficult to review and risky to leave in place.
• Long-Lived Secret: A long-lived secret is a credential, token, API key, or certificate that remains valid for an extended period without frequent renewal. In NHI environments, it creates durable exposure because one leaked secret can keep granting access long after the original use case has changed.
• Identity Blast Radius: The amount of damage a compromised identity can cause across systems, data, and infrastructure. In NHI environments, it is shaped by permissions, network reach, and administrative capability rather than by the credential alone. Reducing blast radius is a containment strategy that limits lateral movement and data exposure.

Deepen your knowledge

NHI governance, identity lifecycle management, and secrets management are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.