Non-human identities outnumber users and outlast human controls

At a glance

What this is: This is an analysis of why non-human identities create a larger and more persistent access surface than human users, especially in SaaS environments.

Why it matters: IAM, PAM, and NHI programmes need to treat machine credentials as first-class governed identities because they often bypass human controls and persist long after their intended use.

Context

Non-human identity sprawl is the gap between how modern SaaS environments actually authenticate and how most identity programmes are organised. Service accounts, OAuth tokens, API keys, service principals, automation workflows, and AI agents all act as identities, but many are created outside the lifecycle discipline that governs people.

The article's core point is that these machine identities often outlast the human context that created them. That matters because once access is embedded into integrations and workflows, revocation, monitoring, and ownership become harder to prove than with employee accounts.

For IAM and NHI teams, the issue is not just inventory. It is governance over credentials that authenticate independently of SSO, MFA, and the normal joiner-mover-leaver process.

Key questions

Q: What breaks when non-human identities are governed like human users?

A: Lifecycle triggers, ownership, and review processes stop working because machine identities do not generate joiner, mover, or leaver events. Access can persist after the original purpose disappears, leaving valid credentials outside normal certification paths. That creates a blind spot where privileged access remains active even though nobody can clearly explain why it still exists.

Q: Why do long-lived machine credentials increase breach risk?

A: Long-lived credentials create a standing access path that can survive code changes, personnel changes, and forgotten integrations. Once exposed, they can be replayed for as long as they remain valid. That makes them more dangerous than narrowly scoped, short-lived credentials because the attacker has more time to find, test, and abuse them.

Q: What are the signs that NHI governance is failing in an enterprise?

A: Common warning signs include unclear ownership for service accounts, secrets stored in code or configuration instead of managed vaults, infrequent rotation, and weak offboarding of API keys. Other red flags are excessive permissions, third-party exposure without controls, and low visibility into where non-human identities exist or how they are used across the stack.

Q: How should teams prioritise NHI discovery versus credential rotation?

A: Discovery comes first when the estate is unknown, because you cannot rotate what you have not found. But rotation becomes the higher priority once critical credentials are identified, because unrotated secrets preserve risk even after inventory improves. The two controls must be sequenced, not treated as alternatives.

Technical breakdown

Why NHI authentication bypasses human access controls

Non-human identities authenticate in ways that are structurally different from human users. Service accounts, API keys, and OAuth tokens do not rely on interactive login flows, so controls built around passwords, MFA prompts, and session oversight do not see most of the activity. In SaaS environments, the credential itself becomes the trust anchor, and that credential can be reused, inherited through integrations, or left active long after the original task ends. The technical problem is not simply that machines are used at scale. It is that machine credentials are designed to operate continuously and silently, which makes normal identity telemetry a poor detection source.

Practical implication: monitor issuance, scope, and API activity for machine credentials instead of relying on human login signals.

How service accounts and tokens expand lateral movement paths

A compromised NHI is rarely a single-system problem. Service accounts often bridge multiple SaaS applications, while OAuth tokens can inherit access across downstream integrations. That creates a lateral movement path where one trusted identity can reach data warehouse, CRM, ticketing, and communication platforms without triggering the friction normally associated with human privilege escalation. Because the access is legitimate, defenders can mistake malicious use for expected automation. In practice, the blast radius depends on how many applications trust the same credential chain and whether those permissions were ever narrowed to the actual task being performed.

Practical implication: map cross-application trust chains and remove broad inherited permissions from shared machine identities.

Why long-lived secrets become governance debt

API keys, refresh tokens, and other long-lived secrets turn forgotten access into a durable control failure. If a credential is embedded in code, scripts, or automation platforms, its lifetime often exceeds the business purpose that justified it. Once the human owner moves on or the integration becomes inactive, the credential can remain active with no clear offboarding event. That is governance debt: access continues to exist because no system owns the end state. The longer the credential remains valid, the more likely it is to survive password resets, workforce changes, and standard employee offboarding routines.

Practical implication: treat credential lifetime as a lifecycle control and force revocation paths for inactive integrations and stale secrets.

Threat narrative

Attacker objective: The attacker aims to preserve trusted access long enough to move across connected SaaS systems and reach higher-value data or administrative paths.

1. Entry occurs when attackers obtain a service account credential, OAuth token, or API key through compromise, theft, or exposure in an integration workflow.
2. Credential abuse follows because the stolen machine identity already has valid permissions and can authenticate without MFA or interactive challenge.
3. Escalation and lateral movement happen when that credential is used across linked SaaS platforms to reach downstream data and trusted integrations.
4. Impact is broad compromise of customer data, administrative functions, or connected environments that continue to trust the NHI credential.

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.
• Kubeflow cryptomining attacks 2020: Exposed Kubeflow dashboards and a notebook's mounted Kubernetes service account let attackers run cryptominers on tens of ML clusters.

Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Non-human identity governance is now an identity discipline of its own. The article makes clear that service accounts, tokens, and API keys are not edge cases but the operational fabric of modern SaaS. That means the control model cannot remain an extension of human IAM, because the subject being governed is different in lifecycle, telemetry, and revocation behaviour. The practitioner conclusion is that NHI inventory, ownership, and offboarding must stand as separate governance functions, not side tasks inside employee identity management.

Persistent access is the real risk, not just credential theft. The decisive issue is that NHIs can stay valid long after their business purpose ends, which creates a standing access path that human controls rarely inspect. A token may be technically legitimate while being operationally obsolete, and that gap is where attackers live. The practitioner conclusion is that lifetime governance matters as much as authentication strength.

Ephemeral trust debt: machine credentials accumulate hidden risk when integrations, scripts, and automation platforms keep them alive beyond the intended workflow. The article's examples show that blast radius grows when stale secrets remain connected to multiple SaaS services. The practitioner conclusion is that trust must be rebuilt around issuance, scope, and revocation, not assumed from the presence of a valid credential.

Security programmes that optimise for humans will continue to miss machine compromise. MFA, login review, and employee offboarding are necessary controls, but they do not map cleanly to NHIs that authenticate once and then act through APIs for months. That mismatch is not a tooling gap alone, it is a governance assumption failure about how access behaves in automated environments. The practitioner conclusion is that detection must shift toward API behaviour and entitlement drift.

The SaaS supply chain turns every delegated integration into a shared trust decision. When a vendor-managed or business-owned integration can touch multiple systems, one compromised credential can become a downstream compromise multiplier. That makes third-party NHI oversight part of supply chain governance, not just internal access review. The practitioner conclusion is that delegated access needs ownership, recertification, and offboarding discipline across the full integration chain.

From our research library:

• NHIs outnumber human identities by 25x to 50x in modern enterprises, 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: Guide to NHI Rotation Challenges

What this signals

Ephemeral trust debt: every long-lived token, key, or service account that survives its original purpose becomes deferred breach exposure. Once access is embedded in a workflow, human-focused controls stop being enough and lifecycle governance has to take over.

Security teams should expect the next wave of NHI risk to come from delegated SaaS connections and automation platforms, not just from obvious service accounts. That shifts programme priorities toward ownership, revocation, and post-authentication monitoring in environments where credentials are valid even when the user is gone.

For practitioners

• Inventory machine identities across SaaS and cloud Build a register of service accounts, OAuth grants, API keys, automation bots, and service principals with owners, purpose, and expiry state.
• Classify stale and overprivileged credentials Prioritise NHIs that are inactive, broadly scoped, or detached from a current business process because they create the easiest lateral movement paths.
• Enforce lifecycle revocation for inactive integrations Define offboarding for API keys and tokens so decommissioned apps, departed staff, and retired workflows do not leave valid credentials behind.
• Monitor post-authentication API behaviour Detect unusual call patterns, new application paths, and scope drift after a credential is issued, because login events alone will miss most NHI compromise.

Key takeaways

• Non-human identities are not a niche exception in enterprise identity programmes. They are a larger and more persistent access layer that human controls routinely miss.
• The article ties that risk to practical indicators such as long-lived secrets, stale integrations, and broad inherited permissions across SaaS systems.
• The control problem is lifecycle governance, not just authentication strength. Ownership, revocation, and behavioural monitoring have to be explicit for machine identities.

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.
• Service Account: A special-purpose account used by applications, automated tools, or services rather than a human user to interact with systems, APIs, and infrastructure. Service accounts are a primary category of NHI and one of the most frequently exploited attack vectors.
• OAuth Token: A short-lived access credential issued by an OAuth 2.0 authorisation server granting an NHI scoped access to specific resources for a defined period. Preferred over static API keys because their short lifetime limits the exploitation window if intercepted.
• Secrets Leakage: Secrets leakage is the exposure of credentials such as API keys, tokens, or certificates in places where they can be discovered and reused. The risk is not just disclosure, but unauthorized authentication that turns a coding or pipeline mistake into active 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 building or maturing an IAM programme, it is worth exploring.