By NHI Mgmt Group Editorial TeamPublished 2026-05-01Domain: AnnouncementsSource: Oasis Security

TL;DR: NHIs now outnumber humans by 10 to 50 times and often carry broader access to sensitive data, which leaves most enterprises with visibility, rotation, and lifecycle gaps, according to Oasis Security. The real issue is not just scale, but the mismatch between NHI behaviour and IAM, PAM, and secret management tools built for human-paced controls.


At a glance

What this is: This is Oasis Security's case for a purpose-built NHI management platform, with the central finding that existing IAM and secrets tools do not cover NHI lifecycle, visibility, and remediation needs.

Why it matters: It matters because practitioners have to govern service accounts, tokens, keys, and roles as a lifecycle problem, not just a vaulting or access problem, across NHI, autonomous, and human identity programmes.

By the numbers:

👉 Read Oasis Security's announcement on non-human identity management


Context

Non-human identity management is the discipline of discovering, governing, rotating, and retiring machine credentials such as service accounts, tokens, keys, and roles. The core problem in this article is that NHIs have become a larger and more privileged population than human users, yet most control stacks were built around human access patterns and periodic review cycles.

That mismatch shows up in practical failure modes: teams cannot reliably see which NHIs exist, who uses them, what permissions they carry, or whether they can be rotated without breaking production. For IAM, PAM, and lifecycle programmes, the lesson is that NHI governance is an operational control plane, not a point solution around secrets storage.


Key questions

Q: What breaks when NHI lifecycle governance is not in place?

A: When NHI lifecycle governance is weak, organisations lose visibility into ownership, purpose, privilege scope, and retirement. That creates stale credentials, over-privileged access, and unresolved third-party dependencies, any of which can turn routine machine access into an incident path. The practical failure is not just missing inventory. It is the inability to safely rotate, certify, or decommission identities before they become a liability.

Q: Why do non-human identities increase blast radius in cloud environments?

A: Non-human identities often carry broader and more persistent permissions than human users because they are built to keep systems running. In cloud environments, that means one compromised service account or token can reach multiple resources, automation paths, or data stores. The issue is not merely volume. It is the combination of standing access, operational trust, and incomplete lifecycle oversight.

Q: How do security teams know if NHI rotation is actually working?

A: Rotation is working when teams can prove that credentials are replaced on schedule, dependencies are updated without manual exceptions, and old credentials are no longer usable. If rotation causes outages, gets postponed indefinitely, or leaves parallel credentials active, the programme is failing. The best signal is not the rotation ticket. It is the absence of stale access and the ability to decommission identities cleanly.

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

A: Accountability should sit with the business and technical owners who can prove why the external identity exists, what it can access, and when it should be removed. Third-party NHI access is not a set-and-forget integration. It needs named ownership, review dates, and offboarding logic so the access does not outlive the relationship or the operational need.


How it works in practice

Why NHI discovery fails in fragmented estates

NHI discovery breaks when identities are spread across cloud accounts, SaaS platforms, on-prem systems, and developer workflows without a shared inventory model. The article describes a common pattern: security teams do not know whether every identity has been onboarded, which permissions it holds, or which system actually consumes it. That is more than asset sprawl. It prevents ownership assignment, contextual risk scoring, and change-safe remediation because no one can map the credential to its operational dependency chain.

Practical implication: build an authoritative inventory that ties each NHI to owner, consumer, privilege scope, and runtime dependency before attempting remediation.

How long-lived secrets and over-privilege compound exposure

Long-lived secrets become dangerous because they extend the window in which stolen or forgotten credentials can be abused, while over-privileged identities increase the blast radius of any compromise. Oasis Security frames this as a posture problem that existing PAM, IAM, CSPM, and secret managers do not fully close, because those tools usually govern a slice of the lifecycle rather than the whole identity state. The result is stale credentials, excessive permissions, and third-party access that outlives the business need.

Practical implication: prioritise rotation, rightsizing, and third-party entitlement reviews together instead of treating them as separate hygiene tasks.

Why lifecycle automation is the real control boundary

The article's strongest technical claim is that NHI security has to extend from provisioning to rotation to decommissioning. That lifecycle boundary matters because NHIs are mission-critical and often involve developers and operations teams, not just security staff. If lifecycle steps remain manual, organisations end up with delayed remediation, inconsistent policy enforcement, and risky exceptions that never get closed. Automation is not the goal by itself; lifecycle consistency is.

Practical implication: automate lifecycle checkpoints for creation, rotation, and offboarding so the governance model matches how NHIs actually behave in production.


NHI Mgmt Group analysis

NHI lifecycle governance has become the control plane, not the cleanup task. The article is right to frame discovery, remediation, and lifecycle automation as one problem, because NHI risk does not end at vaulting credentials. What matters is whether an organisation can prove ownership, privilege scope, and retirement for every machine identity. Security teams should treat lifecycle governance as a first-class operating model, not a backlog item.

Identity blast radius is the better concept than secret count. The article emphasises scale, but the more important variable is how far a single NHI can reach once it is compromised or misused. A small number of over-privileged identities can be more dangerous than a large number of tightly constrained ones. Practitioners should therefore measure how much data and which systems each identity can touch, not only how many identities exist.

Standing privilege is the governance failure that turns machine identity into breach material. Existing IAM and PAM assumptions are designed for identities that are easy to review at human cadence. That assumption fails when NHIs are created quickly, remain active indefinitely, and accumulate access over time through operational shortcuts. The implication is that entitlement ownership and renewal logic must be rebuilt around machine identity lifecycles.

Third-party NHI oversight cannot remain a visibility-only exercise. The article points to the difficulty of knowing which external identities are active, what they consume, and whether they can be safely rotated without outage. That is a governance gap, not just a monitoring gap, because offboarded vendors, stale integrations, and inherited permissions all extend the attack surface. Practitioners should treat third-party machine access as a lifecycle dependency with explicit expiry.

OWASP-NHI issues are already embedded in the article's operating model. The same patterns that OWASP catalogues, including secret sprawl, over-privilege, and rotation failure, appear here as everyday operational pain. That means the problem is not theoretical maturity planning. It is a concrete control gap between how machine identities are provisioned and how they are actually retired. Teams should align remediation priorities to the most exposed NHI lifecycles first.

From our research:

  • 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
  • Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, which is why governance programmes need more than secrets storage.
  • For a broader control lens, see NHI Lifecycle Management Guide for how discovery, rotation, and offboarding fit together.

What this signals

Identity blast radius is the metric many programmes still miss. If teams only count identities, they will under-estimate the damage a single over-privileged token or service account can cause. The better forward signal is whether lifecycle controls can prove current ownership, current need, and current removal capability across cloud and SaaS estates.

With 85% of organisations lacking full visibility into third-party vendors connected via OAuth apps, per The State of Non-Human Identity Security, external machine access is becoming a governance dependency, not a perimeter exception. Programmes that cannot track external identities end up managing risk reactively, after access has already drifted.

Teams should expect NHI governance to converge with access certification, secrets hygiene, and third-party risk review. That convergence is already visible in lifecycle-focused control models such as the NHI Lifecycle Management Guide and the OWASP Non-Human Identity Top 10.


For practitioners

  • Map every NHI to a named owner and consuming system Create an authoritative inventory that records who owns each service account, token, key, or role, what system uses it, and which data or infrastructure it can reach. Without ownership and consumption metadata, you cannot safely rotate or retire anything.
  • Right-size privileges before expanding automation Review the permissions attached to long-lived identities and reduce any access that is broader than the current workload requires. The goal is to shrink blast radius before you try to automate remediation at scale.
  • Build lifecycle checkpoints into developer and ops workflows Embed creation, rotation, and decommissioning steps into the systems that provision NHIs so the process is not dependent on manual tickets. This is especially important where developers and operations teams share responsibility for the same identity.
  • Treat third-party machine access as time-bounded Assign explicit expiry and review points to vendor-connected NHIs, then verify that each identity is still required, still active, and still appropriately scoped. If you cannot prove current need, the access should not persist by default.

Key takeaways

  • The core risk is not just that NHIs exist in large numbers, but that many of them retain excess privilege and weak lifecycle control.
  • The evidence points to a visibility and governance gap, especially where third-party machine access and rotation are still handled manually.
  • Practitioners should treat NHI discovery, rightsizing, rotation, and offboarding as one lifecycle problem with explicit ownership and expiry.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-03The article focuses on rotation, lifecycle control, and stale credential risk.
NIST CSF 2.0PR.AC-1Identity inventory and access governance underpin the article's lifecycle model.
NIST Zero Trust (SP 800-207)The article assumes continuous verification and reduced implicit trust for machine identities.

Maintain authoritative NHI inventories and review access as part of protect-function governance.


Key terms

  • Non-Human Identity: A non-human identity is a machine or workload credential used by software rather than a person. It includes service accounts, API keys, tokens, certificates, roles, and other identities that authenticate systems, automate actions, or authorize access across cloud and application environments.
  • Identity Blast Radius: Identity blast radius is the amount of access, data, and system reach that a single identity can expose if it is misused or compromised. In NHI programmes, it is shaped by privilege scope, downstream dependencies, and how long the credential remains valid.
  • NHI Lifecycle Governance: NHI lifecycle governance is the control discipline that manages machine identities from creation through rotation to retirement. It combines ownership, visibility, entitlement review, and offboarding so that credentials do not outlive the system, relationship, or business purpose they were created for.
  • Standing Privilege: Standing privilege is access that remains active until someone manually removes it. For non-human identities, this becomes especially risky because the credential can continue to function long after the original need has passed, increasing the chance of abuse, drift, or unnoticed exposure.

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.

This post draws on content published by Oasis Security: Introducing Oasis, the Non Human Identity Management Platform. Read the original.

NHIMG Editorial Note
Published by the NHIMG editorial team on 2026-05-01.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org