Why non-human identities outpace human IAM controls and raise risk

At a glance

What this is: This is an independent analysis of why non-human identities are proliferating and why their credential patterns create a distinct security problem.

Why it matters: It matters because IAM and NHI teams need controls for machine access, not just human authentication, or the attack surface keeps expanding unchecked.

By the numbers:

• Non-human identities now outnumber human users by 45 to 1 in the modern enterprise, with some organizations seeing ratios as high as 100 to 1.
• 72% of organisations have experienced or suspect they have experienced a breach of non-human identities.

👉 Read Oasis Security's explanation of what non-human identities are and why they are risky

Context

Non-human identity risk starts with a simple mismatch: machine credentials do not behave like human accounts, but many security programmes still try to govern them that way. In practice, service accounts, API keys, certificates, and tokens are created fast, spread across cloud and SaaS systems, and left outside the same lifecycle controls that IAM teams expect for people. That makes non-human identity governance a visibility and ownership problem before it is a tooling problem.

The article’s core point is that NHIs are now foundational to modern operations, but their security model is weaker than human identity controls because they often lack MFA, SSO, behavioural oversight, and clear accountability. That is a typical starting position in most enterprises, not an edge case, which is why the issue keeps repeating across cloud, automation, and AI-driven workflows.

Key questions

Q: How should security teams govern non-human identities across cloud and SaaS systems?

A: Start by inventorying every machine credential, assigning an owner, and recording what each identity can access. Then enforce rotation, narrow privileges, and review dependencies before changing anything. Governance works when the organisation treats non-human identities as first-class identities with a lifecycle, not as technical leftovers hidden inside applications.

Q: When does rotating NHI secrets create more risk than it removes?

A: Rotation becomes risky when teams do not understand what depends on the credential. If a service account or token is shared across jobs or integrations, a poorly timed change can break production. That is why rotation should follow dependency mapping, staged rollout, and rollback planning, not happen as a blind cleanup exercise.

Q: What is the difference between human identity controls and NHI governance?

A: Human identity controls focus on interactive authentication, user assurance, and behavioural checks. NHI governance focuses on lifecycle state, ownership, secret hygiene, and machine-to-machine dependencies. The two overlap, but non-human identities need stronger inventory, rotation, and entitlement discipline because they often operate without MFA or direct user oversight.

Q: Why do non-human identities complicate zero trust architecture?

A: Zero trust assumes every identity is continuously verified, but NHIs can be copied, reused, or left active in ways that are hard to observe. If teams cannot track ownership and access scope, they cannot verify the trust level of the credential in real time. That makes lifecycle governance a prerequisite for credible zero trust.

Technical breakdown

Why NHI authentication behaves differently from human identity

Non-human identities authenticate programmatically rather than interactively. A service account, API key, OAuth token, certificate, or SSH key can grant direct access without a user present, which removes human-style friction such as MFA prompts and behavioural review. In many environments, the credential is effectively the identity, so compromise of the secret means compromise of the account. That creates a different trust model from human IAM, where a person can be challenged, blocked, or stepped up based on context. For NHI governance, the key technical issue is that authentication and authorisation are usually embedded in application design, pipelines, or cloud configuration, not in a central identity workflow.

Practical implication: Map every machine credential to its issuing system, lifetime, owner, and access scope before you try to govern it.

How credential sprawl turns into identity blast radius

Credential sprawl happens when NHI secrets are created for a project, integration, or workload and then persist long after their original purpose. The risk is not only exposure, but scope: over time, those credentials often accumulate broad permissions to avoid breaking production. Once leaked or abused, they can enable persistent access across storage, CI/CD, cloud control planes, and SaaS systems. The blast radius grows because the same credential may be reused by multiple services, or because no one knows all the dependencies tied to it. That is why rotation without dependency mapping can create outages as well as reduce risk.

Practical implication: Prioritise dependency mapping and secret inventory before rotation so you can shrink access without disrupting production.

Why NHI visibility and ownership are the real control points

Most NHI incidents become hard to contain because no one can answer basic questions quickly: who owns the credential, what systems depend on it, and whether it is still needed. Without that context, teams avoid remediation because they fear breaking business workflows. This is where NHI governance differs from general asset management. The control problem is not just discovery, but lifecycle state. If you cannot identify unused credentials, expired access paths, or service accounts with unexplained privileges, then least privilege, zero standing privilege, and zero trust all remain partial at best.

Practical implication: Assign business and technical owners to every NHI and review access lifecycles on a fixed cadence.

Threat narrative

Attacker objective: The attacker wants durable, low-friction access to sensitive systems by abusing machine credentials that were never governed like human identities.

1. Entry via exposed API keys, service account secrets, or tokens leaked through repositories, logs, or integrations.
2. Escalation through over-privileged non-human identities that allow access beyond the original workload or application.
3. Impact through persistent machine-to-machine access across cloud, SaaS, or storage systems with little behavioural detection.

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

NHIs are no longer a niche identity class, they are the operational majority of enterprise access. Once machine identities outnumber human users at scale, IAM strategy has to change from user-centric control to lifecycle-centric governance. Discovery, ownership, rotation, and access review become the main control plane, not just authentication policy. Practitioners should treat NHI coverage as a baseline governance requirement, not an optional security add-on.

Ephemeral credentials do not remove trust debt if the surrounding identity model is still opaque. Short-lived secrets can reduce exposure windows, but they do not solve unclear ownership, reused credentials, or hidden dependencies. Ephemeral credential trust debt: the residual risk created when a short-lived secret is treated as safe even though the system that issues, stores, and uses it is still poorly governed. Practitioners should measure trust in the full lifecycle, not just the token expiry time.

Identity blast radius is the right way to think about NHI risk at enterprise scale. A single service account or token can unlock far more downstream access than the credential itself suggests, especially in cloud and automation-heavy environments. That makes entitlement review and dependency mapping more valuable than isolated secret scanning. Practitioners should reduce the number of credentials that can pivot into shared infrastructure.

Traditional IAM controls are necessary but insufficient when identities are created by code. Human identity processes assume central issuance and visible ownership, while NHI creation often happens inside development and automation pipelines. That mismatch leaves governance lagging behind the rate of change. Practitioners should embed guardrails into provisioning, CI/CD, and cloud workflows so security sees machine identities at creation time.

Zero Trust only works for NHIs when verification is continuous and context-aware. Static trust in a workload or service account breaks the model because machine identities can be copied, reused, or left active long after the original risk changes. NHI governance should therefore combine least privilege, rotation, and runtime monitoring. Practitioners should use zero trust as an operating model, not just a policy label.

From our research:

• 1 in 4 organisations are already investing in dedicated NHI security capabilities, with an additional 60% planning to do so within the next twelve months, according to Astrix Security & CSA.
• Another NHIMG finding shows that only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared with nearly 1 in 4 for securing human identities.
• For a broader control lens, see Ultimate Guide to NHIs , Why NHI Security Matters Now for the governance context behind the adoption curve.

What this signals

The programme implication is straightforward: NHI governance is moving from specialist concern to baseline identity architecture. With 85% of organisations lacking full visibility into third-party vendors connected via OAuth apps, the next maturity step is not more policy language, it is better discovery and ownership discipline.

Ephemeral credential trust debt: teams that celebrate short-lived secrets without mapping downstream dependencies will still carry hidden operational risk. The right next investment is a control stack that joins inventory, dependency mapping, rotation, and runtime monitoring so machine identities can be governed continuously.

For practitioners aligning this work to broader standards, the NIST Cybersecurity Framework 2.0 and Zero Trust Architecture both point toward the same operational direction: verify identity, reduce standing access, and detect drift early. That makes NHI governance a natural part of identity and access modernisation, not a separate project.

For practitioners

• Inventory every non-human identity Build a complete register of service accounts, API keys, tokens, certificates, and workload identities across cloud, SaaS, and CI/CD systems. Include owner, system of record, privilege scope, and expiry status so you can see which credentials are orphaned or overextended.
• Map dependencies before rotating secrets Document which applications, jobs, and integrations depend on each credential before changing it. Use the dependency map to sequence rotation, define rollback paths, and avoid production outages when a long-lived secret is replaced.
• Reduce standing privilege for machine access Replace broad, persistent permissions with task-scoped entitlements wherever the workflow allows it. Pair that with short-lived credentials and explicit re-approval for elevated access to lower the chance that one credential becomes a durable foothold.
• Embed NHI governance into delivery pipelines Require machine identity checks in provisioning, CI/CD, and cloud build workflows so new credentials are visible when they are created. This is where teams can enforce ownership, tagging, rotation policy, and access review before drift accumulates.
• Monitor behaviour for machine identity drift Baseline normal access patterns for high-value NHIs and alert when a service account reaches unfamiliar systems, unusual regions, or atypical hours. Behaviour monitoring is one of the few ways to detect misuse when the credential is technically valid.

Key takeaways

• Non-human identities create a governance problem that traditional human IAM controls do not fully solve.
• Visibility, ownership, and dependency mapping matter as much as rotation because machine credentials can carry hidden blast radius.
• Enterprises that want credible zero trust need NHI lifecycle controls, not just better secrets handling.

Key terms

• Non-Human Identity: A non-human identity is a machine credential used by software, services, or automated workflows to authenticate and access resources. It can take the form of a service account, token, API key, certificate, or workload identity, and it needs lifecycle governance because it often acts without a human present.
• Credential Sprawl: Credential sprawl is the uncontrolled growth of machine secrets and access paths across applications, cloud services, and automation pipelines. The risk is not only volume, but forgotten ownership and over-broad permissions that remain active long after the original use case has changed.
• Identity Blast Radius: Identity blast radius is the amount of downstream access a single credential can unlock if it is compromised or misused. In NHI environments, one token or service account can affect multiple systems, so the blast radius depends on privilege scope, reuse, and hidden dependencies.
• Workload Identity: A workload identity is a machine identity assigned to an application, container, virtual machine, or serverless service so it can authenticate to other systems. It differs from a user account because it is designed for automated access, and it must be governed through inventory, rotation, and scoped permissions.

Deepen your knowledge

NHI lifecycle governance and machine credential rotation are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If your team is building controls for service accounts, tokens, and workload identities, the course is a practical place to start.

This post draws on content published by Oasis Security: What Are Non-Human Identities (NHIs) and Why Are They Risky? Read the original.