Non-human identity management is shifting from secrets to governance

At a glance

What this is: This is an analysis of KuppingerCole’s Non-Human Identity Management Leadership Compass and its conclusion that NHI governance is moving from secrets storage to full lifecycle control.

Why it matters: It matters because IAM, PAM, and lifecycle teams now have to govern machine access patterns that scale faster and behave differently from human accounts.

By the numbers:

• In some enterprises, non-human identities outnumber human identities by 144 to 1.

👉 Read Akeyless's analysis of KuppingerCole's Non-Human Identity Management Leadership Compass

Context

Non-human identity management is the discipline of governing service accounts, tokens, keys, certificates, and machine-to-machine access across their full lifecycle. The article argues that this is no longer a narrow secrets-management problem, because automation and AI are producing identity sprawl that traditional IAM models were never designed to absorb.

The governance gap is not visibility alone. It is that legacy access models assume stable users, predictable review cycles, and credential lifetimes that can be managed after the fact. For NHI programmes, the problem is lifecycle control, ownership, and policy enforcement at machine scale, which is why the Ultimate Guide to NHIs remains a useful reference point for practitioners.

Key questions

Q: How should teams govern non-human identities across cloud and CI/CD environments?

A: Teams should govern non-human identities as a lifecycle problem across creation, use, rotation, audit, and decommissioning. That means every service account, token, or key needs an owner, a policy, and a retirement path that works across cloud, CI/CD, Kubernetes, and on-prem systems. Central visibility matters, but continuous enforcement matters more than inventory alone.

Q: Why do long-lived machine credentials create more risk than short-lived access?

A: Long-lived machine credentials create more risk because they can be copied, reused, and forgotten across pipelines and infrastructure. Short-lived access reduces exposure, but only if it is tied to policy, ownership, and revocation at the point of use. Without that, the credential may still outlive the system or workload it was meant to protect.

Q: What do security teams get wrong about NHI visibility?

A: They often treat visibility as a reporting problem rather than a governance problem. Seeing a token or service account is not enough if no one can prove who owns it, where it is used, or when it should be removed. Effective visibility must connect inventory to action, especially for identities spread across multiple platforms.

Q: Who should be accountable for non-human identity lifecycle control?

A: Accountability should sit with the team that owns the workload or automation using the identity, not with a generic platform team alone. Security can define policy and enforce controls, but the business owner must be able to answer why the identity exists, when it is reviewed, and when it is retired.

Technical breakdown

Why NHI lifecycle management now sits at the control plane

The article frames NHI management as a lifecycle problem, not a vaulting problem. That matters because creation, use, rotation, audit, and decommissioning are all governance events, and they must be tied to ownership and policy. When secrets are scattered across code, CI/CD, infrastructure, and cloud services, no single repository tells you whether an identity is still valid, overprivileged, or abandoned. Central control only helps if it can still reflect the real state of distributed machine access.

Practical implication: map every machine identity to an owner, lifecycle state, and enforcement policy before you rely on vaulting alone.

How policy-bound access replaces long-lived machine credentials

The shift described in the article is away from durable credentials and toward access that is short-lived, policy-bound, and generated when needed. In practice, that means the identity system must decide whether access is valid at the moment of use, not just at provisioning time. This is a major difference from human IAM patterns, where authentication and approval often happen in discrete steps. For non-human identities, the access decision, retrieval of secrets, and execution of the workload are much more tightly coupled.

Practical implication: reduce the number of credentials that can be reused outside their intended workflow and favour just-in-time access where possible.

Why auditability and integration now determine operational viability

KuppingerCole’s criteria highlight that NHI platforms must work across cloud, on-prem, Kubernetes, DevOps, and CI/CD environments, while still preserving audit trails and compliance evidence. That is because governance fails when the control plane cannot see where identities are created, how they are consumed, and when they are retired. Auditability is not a reporting extra here. It is the only way to prove that ownership, rotation, and decommissioning are actually happening in systems that move too quickly for manual oversight.

Practical implication: require lifecycle status reporting and identity-to-owner mapping in the same workflow as access provisioning.

NHI Mgmt Group analysis

Non-human identity governance has moved from a secrets problem to an access-lifecycle problem. The article correctly treats NHI as a control-plane issue rather than a storage issue. That distinction matters because the real risk is not just exposed credentials, but identities whose creation, reuse, and retirement are no longer tied to accountable ownership. Practitioners should treat lifecycle governance as the primary control boundary for machine access.

Identity programmes still assume access is stable enough to review, but machine identities break that premise. Access review, recertification, and offboarding were built around identities that persist long enough for human-paced governance to catch them. When non-human identities are created, reused, and abandoned across pipelines and infrastructure at machine speed, the review window no longer matches the operational window. The implication is that governance must be continuous, not episodic.

Distributed environments expose an identity blast radius that traditional IAM cannot fully see. The article’s emphasis on cloud, on-prem, Kubernetes, and CI/CD integration reflects a broader reality: machine identities do not live in one system, so neither can governance. A named concept here is the identity blast radius, meaning the spread of risk when one machine identity is reused, duplicated, or left active across multiple environments. Practitioners should assume every unmanaged distribution point expands the blast radius.

Autonomous systems make NHI governance more urgent because they compress decision and execution into the same session. Non-human identities already challenge lifecycle governance; autonomous systems intensify that challenge by making access use more dynamic and less predictable. The important field-level shift is that machine identity is no longer just infrastructure access, it is the operating identity for increasingly self-directed systems. Practitioners should prepare for governance models that distinguish static machine access from runtime decision-making.

Zero-knowledge architectures reduce exposure, but they do not remove governance obligations. Architectural controls such as Distributed Fragments Cryptography can limit how secrets are exposed, yet the governance question remains who owns the identity, who can invoke it, and how quickly it is retired. Security architecture and identity governance must therefore be designed together. Practitioners should not mistake better cryptography for completed lifecycle control.

From our research:

• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, 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 Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs.
• For a wider lifecycle lens, see the NHI Lifecycle Management Guide, which maps provisioning, rotation, and offboarding to practical governance controls.

What this signals

The immediate signal for practitioners is that NHI programmes are moving from discovery into enforcement. With 97% of NHIs carrying excessive privileges, the problem is not whether machine identities exist, but whether the organisation can constrain them before they expand the attack surface.

Identity blast radius: when one machine identity is duplicated, reused, or left active across multiple systems, the loss of control spreads far beyond a single credential. That should push teams to connect access policy, ownership, and retirement logic across cloud, CI/CD, and infrastructure rather than treating them as separate control domains.

Practitioners should also expect lifecycle governance to become a board-visible issue. The organisations that can prove ownership, rotation, and decommissioning across distributed environments will be the ones best positioned to move from reactive secrets handling to operational identity governance.

For practitioners

• Inventory machine identities by lifecycle state Create a live register of service accounts, API keys, certificates, and tokens that includes owner, system of record, last-use date, and retirement status. Tie the inventory to cloud, CI/CD, and infrastructure sources so abandoned identities do not remain invisible.
• Enforce rotation and decommissioning as governance events Treat rotation, revocation, and offboarding as mandatory workflow steps, not manual cleanup tasks. Use policy to block continued use when credentials are past their approved lifecycle stage or when ownership cannot be verified.
• Require identity-to-owner mapping for every NHI Do not allow machine credentials to exist without accountable ownership, escalation paths, and review cadence. If an identity cannot be assigned to a responsible team, remove or quarantine it until ownership is restored.
• Test governance across distributed platforms Validate that your controls work consistently across cloud providers, Kubernetes, CI/CD, and on-prem systems. Focus on whether audit evidence, access policy, and retirement workflows survive environment changes rather than only whether secrets can be stored centrally.

Key takeaways

• The core issue is not just secret storage, but whether non-human access can be governed across its full lifecycle.
• The scale problem is already visible, with machine identities routinely carrying excessive privilege and outnumbering humans in modern environments.
• Teams should align inventory, ownership, rotation, and decommissioning so NHI governance works across every environment where machine access exists.

Key terms

• Non-Human Identity: A non-human identity is any digital identity used by software, services, devices, or automation instead of a person. It includes service accounts, API keys, tokens, certificates, and workload identities. In practice, these identities need ownership, lifecycle control, and policy because they can authenticate and act at machine speed.
• Identity Blast Radius: Identity blast radius is the spread of impact when one identity is overused, duplicated, or left active across multiple systems. The larger the blast radius, the more environments and workloads can be affected if the identity is exposed or misused. It is a useful way to think about machine identity concentration risk.
• Lifecycle Governance: Lifecycle governance is the discipline of controlling an identity from creation through use, review, rotation, and retirement. For non-human identities, it is the control layer that keeps machine access accountable as environments change. Without lifecycle governance, access can persist long after the workload or owner has moved on.

What's in the full analysis

Akeyless's full article covers the operational detail this post intentionally leaves for the source:

• The report’s vendor-by-vendor criteria and evaluation logic for Non-Human Identity Management platforms.
• More detail on Akeyless’s Distributed Fragments Cryptography architecture and how it changes deployment choices.
• The full breakdown of lifecycle, audit, and compliance capabilities that KuppingerCole used in its assessment.
• Coverage of how Akeyless positions its AI-driven and autonomous system support inside the broader NHI category.

👉 Akeyless's full article covers the evaluation criteria, lifecycle controls, and architecture signals in more detail.

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 building or maturing an IAM programme, it is worth exploring.