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

At a glance

What this is: This is a practitioner analysis of the ten most common non-human identity risks, with the central finding that scattered credentials, stale access, and weak lifecycle governance create the largest exposure.

Why it matters: IAM, PAM, and NHI teams need this because the same control gaps that affect service accounts and API keys also shape blast radius, offboarding, and privilege creep across human and autonomous programmes.

By the numbers:

• As the number of non-human identities, such as service accounts, devices and API keys, grows faster than human ones (1:10 according to Microsoft research), organizations face a big challenge in keeping them secure.

👉 Read Token Security's analysis of the top 10 non-human identity risks

Context

Non-human identity risk is the governance problem that appears when service accounts, API keys, tokens, certificates, and automation identities outgrow the controls built for them. In this article, Token Security argues that the main failure is not a single bad secret, but the combination of fragmentation, weak ownership, and inconsistent lifecycle handling across hybrid environments.

That matters to IAM and PAM teams because the same identity primitive can be provisioned in one system, copied into another, and left active long after the original purpose ends. Once that happens, rotation, offboarding, and least-privilege review become program issues rather than isolated hygiene tasks.

The article’s starting position is typical, not unusual. Most enterprises already have the ingredients for NHI sprawl, but they still lack a unified operating model for inventory, access scope, and decommissioning.

Key questions

Q: How should security teams implement NHI lifecycle governance across service accounts and API keys?

A: Start by assigning each non-human identity a named owner, a documented business purpose, and a review cadence tied to usage. Then connect creation, rotation, access review, and decommissioning into one process so identities cannot survive after the system or project they support has ended.

Q: Why do stale non-human identities increase breach risk in hybrid and multi-cloud environments?

A: Because stale identities combine two problems at once: they are harder to notice and more likely to retain permissions nobody actively manages. In hybrid estates, those credentials often outlive the original workload, then become an easy path into systems that still trust them.

Q: What do security teams get wrong about secret rotation for non-human identities?

A: They often treat rotation as a standalone task instead of part of a larger lifecycle model. If the secret is still copied into repositories, chat tools, or unmanaged endpoints, rotation only resets one copy while the other exposure paths remain active.

Q: Who is accountable when a third-party non-human identity is compromised?

A: Accountability should be shared but explicit. The internal owner is responsible for governance, the provider is responsible for the integrity of its side of the integration, and both sides need a clear revocation path so old access does not survive a relationship change.

Technical breakdown

Why orphaned non-human identities persist after offboarding

Incomplete offboarding happens when the human owner leaves but the service accounts, API keys, and scripts they created remain active. The technical failure is lifecycle fragmentation: the identity object survives even though the business context that justified it has disappeared. In practice, these credentials often keep working because they are not tied to a central ownership record, usage review, or deletion workflow. That turns a normal staff departure into a standing access problem. The risk increases when the identity is embedded in automation or shared across teams, because nobody is sure which system will break if it is disabled.

Practical implication: tie every NHI to an owner, a system of record, and a decommission path that is triggered when the business use case ends.

How insecure credential storage turns discovery into compromise

NHI credentials become dangerous when they are copied into code, endpoints, chat tools, password vaults, and shared storage without consistent control boundaries. The mechanism is simple: the more places a secret exists, the more likely one of those places has weaker protection than the workload itself. Attackers do not need to break the original system if they can find the credential in a developer laptop, a repository, or an internal message thread. This is why secret-finding and vault hygiene are inseparable from NHI governance. The issue is not just storage location, but uncontrolled distribution.

Practical implication: inventory where secrets live, reduce duplicate storage, and treat every additional copy as an exposure path that must be governed.

Why standing privilege makes NHI compromise harder to contain

Unrotated and over-privileged non-human identities create a long-lived attack surface. Static credentials remain useful to an attacker for as long as they remain valid, and broad permissions let a single compromised identity reach multiple systems. The technical pattern is blast-radius expansion: one leaked key becomes a platform for lateral movement, data extraction, or infrastructure abuse. In hybrid and multi-cloud estates, the problem is worse because access policies differ across environments and teams often compensate by granting more privilege than necessary. That makes the credential both persistent and powerful.

Practical implication: reduce standing privilege, shorten credential lifetime, and review whether each identity still needs the access scope it currently holds.

Threat narrative

Attacker objective: The attacker’s objective is to reuse long-lived non-human credentials to move quietly through production environments and reach sensitive data or high-value systems.

1. Entry occurs when a shared or hardcoded NHI credential is discovered in code, endpoints, messaging tools, or third-party access paths.
2. Escalation follows when the credential is still valid, broadly scoped, or attached to identities that were never rotated or offboarded.
3. Impact arrives through lateral access to production systems, data exfiltration, or service abuse that blends into normal machine activity.

Breaches seen in the wild

• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
• IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.

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 sprawl is really lifecycle debt: The article correctly shows that the problem is not just the number of credentials, but the absence of reliable ownership, review, and offboarding. Service accounts, API keys, and automation identities outlive the people and projects that created them, which means access survives after the business reason has disappeared. The implication is that NHI programmes fail when they treat identities as static artefacts instead of governed lifecycle objects.

Insecure credential storage is a distribution problem, not a single-control problem: Once secrets are copied into repositories, chat tools, endpoints, and shared vaults, the security model becomes dependent on every weakest location in the chain. That is why discovery alone never solves the issue, because the attacker only needs one exposed copy. Practitioners should read this as a signal that secret governance must track propagation, not just existence.

Overprivileged non-human identities create identity blast radius: The article’s examples show how shared roles and broad permissions turn one compromised key into access across multiple systems. This is not simply excessive access, it is compounding exposure because the same identity can authenticate many workloads and blend into normal operations. The practical conclusion is that blast-radius reduction matters more than nominal ownership of the credential.

Third-party NHI access remains one of the hardest governance gaps to close: Vendor and partner integrations often depend on long-lived credentials that are difficult to observe and easy to forget after onboarding. That creates a control gap where the external relationship ends, but the identity remains active. Practitioners should treat third-party NHI review as a permanent control, not an annual audit task.

Static credential thinking is still the wrong baseline for modern identity programmes: The article’s risks all cluster around credentials that persist too long, spread too widely, or fail to map cleanly to one accountable owner. OWASP NHI and NIST CSF both point in the same direction here: the issue is governance completeness, not just detection. Teams that do not collapse the gap between creation, usage, review, and removal will keep rediscovering the same failure modes.

From our research:

• 64% of valid secrets leaked in 2022 are still valid and exploitable today, proving that detection alone is not enough without automated revocation, according to The State of Secrets Sprawl 2026.
• 28% of secrets incidents now originate outside code repositories, in Slack, Jira, and Confluence, and they are 13% more likely to be categorised as critical than code-based leaks.
• For teams building a response programme, the next step is the Guide to the Secret Sprawl Challenge, which maps the operational controls behind secret discovery and revocation.

What this signals

Secret governance is now a propagation problem: Once credentials move beyond the repository, the operational risk shifts from detection to containment. For identity teams, that means inventory must include messaging platforms, ticketing systems, and shared documents, not just code scanning results.

With 64% of valid secrets leaked in 2022 still exploitable today, rotation without revocation is only partial remediation. Programmes that stop at finding secrets will keep preserving access paths that should have expired.

The governance lesson is broader than NHI alone, because the same distribution patterns affect workload identity, third-party integrations, and human-shared credentials. Teams that align control ownership across IAM, PAM, and secrets management will be better positioned to reduce identity blast radius.

For practitioners

• Build an authoritative NHI inventory Map service accounts, API keys, certificates, tokens, and automation identities to a single ownership record. Include where each identity is used, what it can reach, and what workflow removes it when it is no longer needed.
• Remove secret duplication from user-controlled locations Find credentials in code repositories, chat systems, endpoints, and shared documents, then relocate them into governed storage with access boundaries that match the workload. Treat each extra copy as a separate exposure point.
• Shorten the lifetime of standing credentials Replace static keys where possible with temporary credentials, rotate long-lived secrets on a fixed schedule, and alert on credentials that have not been used or changed within expected windows.
• Separate access by workload, not by convenience Assign unique least-privileged credentials to each application or integration so one compromise cannot automatically reach unrelated services. Review shared roles and eliminate permissions that exist only because multiple systems were bundled together.
• Formalise third-party NHI offboarding Add revocation, rotation, and contract-end checks to every external integration. When a provider is removed, downgraded, or replaced, the associated credentials should be disabled before the relationship fully changes.

Key takeaways

• The article shows that the main NHI risk is not one weak secret, but a governance model that lets identities outlive the people and systems behind them.
• The scale of exposure is amplified by insecure storage, shared credentials, and overprivileged access that let one compromise spread across multiple workloads.
• Practitioners should respond by unifying ownership, shortening secret lifetime, and treating offboarding and revocation as core identity controls rather than cleanup tasks.

Key terms

• Non-Human Identity: A non-human identity is any credentialed digital entity used by software, workloads, or automation rather than a person. It includes service accounts, API keys, tokens, certificates, and machine identities that authenticate systems and actions. These identities need lifecycle governance because they often persist, spread, and remain exploitable longer than intended.
• Secret Sprawl: Secret sprawl is the uncontrolled spread of credentials across repositories, endpoints, chat tools, vaults, and shared documents. The core problem is not just where a secret starts, but how many unmanaged copies appear over time. Each copy increases exposure and makes revocation and containment more difficult.
• Standing Privilege: Standing privilege is access that remains continuously available instead of being granted only when needed. For non-human identities, it creates persistent attack surface because a leaked or stale credential can be reused without a fresh approval step. Reducing standing privilege is central to limiting blast radius.
• Lifecycle Offboarding: Lifecycle offboarding is the process of removing or reassigning an identity when the business purpose, owner, or relationship ends. For NHIs, it must cover secrets, roles, scripts, and integrations, not just a visible account object. If offboarding is incomplete, access can survive long after accountability has disappeared.

What's in the full article

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

• The article’s full risk-by-risk breakdown of the ten NHI failure modes and how they differ in practice.
• Examples of insecure storage patterns across repositories, vaults, endpoints, and messaging tools.
• The source’s concrete attack scenarios showing how leaked credentials become compromise paths.
• Token Security’s product-specific remediation guidance for teams that want implementation detail.

👉 Token Security's full post covers the risk categories, attack scenarios, and prevention guidance in more depth.

Deepen your knowledge

NHI governance, machine identity security, 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 identity security programme, it is worth exploring.