Zero trust implementation gaps still undermine identity governance

At a glance

What this is: This is a step-by-step guide to implementing Zero Trust, with emphasis on identity, least privilege, monitoring, and phased rollout across users, devices, applications, and data.

Why it matters: It matters because Zero Trust breaks down quickly when NHI and IAM governance are not tied to access scope, lifecycle control, and continuous verification.

By the numbers:

• 86% of organizations have already begun implementing Zero, nting Zero Trust, according to Cisco.
• 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation.
• Only 5.7% of organizations have full visibility into their service accounts.
• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.

👉 Read StrongDM's step-by-step guide to implementing Zero Trust

Context

Zero Trust is a security model, not a single product, and its hard part is governance: proving who or what is accessing each resource, under what conditions, and with what level of privilege. In NHI environments, that question becomes more difficult because service accounts, tokens, API keys, certificates, and AI agents all behave differently, yet they are often managed through the same access assumptions as human users.

StrongDM’s guide reflects a familiar implementation pattern. The discipline is usually framed around identity, devices, networks, applications and workloads, and data, but the operational challenge is still the same: discovery, least privilege, monitoring, and measurement have to stay linked. For teams building Zero Trust around NHIs, the relevant baseline is the lifecycle model in the NHI Lifecycle Management Guide, not just policy language.

Key questions

Q: How should security teams implement Zero Trust for non-human identities?

A: Start by inventorying every machine identity, assigning an owner, and mapping its access to a specific business function. Then apply least privilege, short-lived credentials, and revocation controls so each identity can be verified, limited, and retired on schedule. Zero Trust fails when machine access is treated as permanent infrastructure rather than governed identity.

Q: When does Zero Trust create more risk than it reduces?

A: Zero Trust creates more risk when teams layer policy on top of unmanaged secrets, shared accounts, and unclear ownership. In that state, controls look stronger while the trust boundary stays fuzzy. The model works only when lifecycle management, monitoring, and revocation are tight enough to match the speed of machine access.

Q: What is the difference between Zero Trust and least privilege for NHIs?

A: Zero Trust is the operating model that continuously verifies access, while least privilege is the permission principle that limits what an identity can do. For NHIs, least privilege is one control inside a broader Zero Trust programme. Teams need both, because restricted permissions without continuous verification still leave hidden trust gaps.

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

A: NHIs complicate Zero Trust because they are often invisible, over-privileged, and embedded in automation that never stops running. A machine identity can hold access far longer than a human session, which makes revocation, review, and anomaly detection harder. That is why Zero Trust for NHIs must include lifecycle controls, not just authentication checks.

Technical breakdown

How Zero Trust pillars map to NHI governance

The five-pillar model used in Zero Trust programmes creates a useful structure, but NHIs stretch each pillar differently. Identity is not just authentication of users, because service accounts and workloads often authenticate non-interactively. Devices matter less for some machine-to-machine flows, while applications and workloads become the primary identity surface. Data controls remain essential, but they do not compensate for weak entitlement control upstream. The main architectural mistake is assuming one control plane can govern human and non-human access the same way. In practice, NHIs need explicit inventory, ownership, credential hygiene, and workload-level authorization patterns.

Practical implication: Map each NHI class to a named owner, a renewal path, and a least-privilege policy before rolling Zero Trust controls out globally.

Why JIT access and Zero Standing Privilege matter for machines

Just-in-time access and zero standing privilege are not human-only controls. For NHIs, they reduce the duration and blast radius of credentials that would otherwise remain active long after a task ends. The challenge is that machine credentials are often embedded in automation, so access can look “static” even when the workload is dynamic. That creates trust debt, where old assumptions keep working because the workflow has not been redesigned. Zero Trust succeeds when ephemeral access becomes normal and standing access becomes the exception, especially for administrative or cross-environment tasks.

Practical implication: Replace persistent machine entitlements with time-bound grants, short-lived tokens, and explicit revocation logic for every privileged workflow.

Why monitoring and segmentation fail without identity context

Micro-segmentation and telemetry reduce lateral movement, but they do not explain who or what actually moved. For NHIs, that identity context is critical because many incidents start with a credential that looked legitimate until it was used in an unexpected way. Monitoring should therefore join authentication events, secret use, workload location, and privilege scope into one trail. Without that linkage, teams can see activity but not governance failure. Zero Trust is strongest when detection is tied to entitlement boundaries, not just network anomalies or log volume.

Practical implication: Correlate NHI authentication, secret usage, and access scope in the same detection workflow so policy violations become visible.

Threat narrative

Attacker objective: The attacker aims to turn a single legitimate-looking identity into broad operational reach across systems and data.

1. entry via over-privileged machine credentials that were not rotated or scoped to a task.
2. escalation through lateral movement after the same identity was accepted across multiple resources.
3. impact through expanded access to data, infrastructure, or deployment paths that Zero Trust was meant to constrain.

Breaches seen in the wild

• Moltbook AI agent keys breach — Moltbook breach exposed 1.5M AI agent keys.
• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Zero Trust is now an NHI governance problem, not just an architecture problem. The implementation language usually focuses on policies, segmentation, and verification, but the control failure point is identity sprawl. If service accounts, API keys, and workloads are left outside the governance model, the architecture looks stricter than it really is. Practitioners should treat NHI ownership and lifecycle control as a first-class Zero Trust requirement.

Ephemeral access only works when the underlying credential model supports it. JIT and ZSP are often presented as access convenience features, but their real value is blast-radius reduction. If teams still rely on long-lived secrets, shared accounts, or manual approvals, they are extending the trust window rather than shrinking it. The practical standard is short-lived access with explicit revocation and auditability.

Micro-segmentation without identity correlation is only partial containment. Network boundaries can slow an attacker, but they do not prevent misuse of a valid NHI credential inside a trusted path. That is why identity-aware telemetry matters more than generic perimeter logging. Teams should align segmentation with entitlement review and workload identity monitoring.

Zero Trust programmes now need a named control for machine identity drift. The useful concept here is identity blast radius, meaning how far one compromised NHI can move before governance catches up. When organisations do not know where machine identities exist, who owns them, or when they were last rotated, the blast radius grows silently. Practitioners should measure that drift directly and reduce it continuously.

The market message is that access governance is shifting from static entitlement review to continuous authorization. The most mature programmes will not ask whether a credential exists, but whether it still deserves to exist in this context. That shift makes inventory, lifecycle, and runtime controls inseparable. Security teams should plan for governance that can operate at machine speed.

From our research:

• Only 5.7% of organizations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
• 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time.
• For a practical next step, review NHI Lifecycle Management Guide to align discovery, rotation, and offboarding across machine identities.

What this signals

Identity visibility is now the prerequisite for Zero Trust operations. If teams cannot see their service accounts, they cannot reliably enforce least privilege or prove revocation. The programme impact is immediate: control gaps will show up first in machine identities, not in user login flows, so the inventory problem has to be solved before architecture claims can be trusted.

With 97% of NHIs carrying excessive privileges, per our Ultimate Guide to NHIs, Zero Trust programmes need to measure privilege reduction as a programme outcome, not as an annual review artifact. That means tying policy to actual entitlement shrinkage, especially for workloads that cross cloud, CI/CD, and production boundaries.

Identity blast radius: the useful programme measure is how far one compromised machine identity can move before controls stop it. Security leaders should treat that metric as an operational target, because micro-segmentation and access review are only meaningful when they measurably constrain the path from credential exposure to system reach.

For practitioners

• Inventory all non-human identities in the Zero Trust scope Build a complete register of service accounts, API keys, tokens, certificates, and workload identities, then assign ownership and business purpose to each one. Use that inventory to decide which identities should be retired, rotated, or converted to short-lived access. Tie the register to the NHI Lifecycle Management Guide and the Ultimate Guide to NHIs for governance structure.
• Convert standing access into time-bound machine access Replace persistent privileges with JIT grants, short-lived tokens, and explicit revocation for administrative and cross-environment workflows. Make approval, expiry, and audit logging part of the same control path so automation cannot outlive its task.
• Correlate identity and network telemetry Join authentication events, secret use, and workload location in a single monitoring workflow so identity misuse is visible before it becomes lateral movement. Pair that telemetry with segmentation rules that reflect entitlement scope, not just IP ranges.
• Measure standing access reduction by workload class Track how many privileged entitlements remain active across databases, servers, clusters, and CI/CD paths, and review the trend by application owner. Use the numbers to show whether Zero Trust is actually shrinking attack surface or just adding policy language.

Key takeaways

• Zero Trust becomes an NHI governance discipline when machine identities are part of the access model from the start.
• Visibility gaps, standing privilege, and weak revocation are the main reasons Zero Trust programmes underperform in practice.
• Teams should measure whether access is shrinking in scope and duration, not whether the policy framework exists on paper.

Key terms

• Non-Human Identity: A non-human identity is any machine or software identity that authenticates to systems and carries access rights. That includes service accounts, API keys, tokens, certificates, workloads, bots, and AI agents. The governance problem is that these identities often outnumber humans and are harder to inventory, rotate, and retire.
• Zero Standing Privilege: Zero Standing Privilege means an identity has no permanent elevated access. Privileges are granted only when needed, for a limited time, and then revoked automatically or through a controlled workflow. For NHIs, it reduces the exposure window created by long-lived secrets and unattended automation.
• Identity Blast Radius: Identity blast radius is the amount of damage a compromised identity can cause before controls contain it. For non-human identities, the term captures how far a stolen token, key, or certificate can move across systems, environments, and data. Smaller blast radius means tighter scope, shorter duration, and better revocation discipline.

Deepen your knowledge

Zero Trust implementation for machine identities is a core topic in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building access controls around service accounts, tokens, and workloads, it is worth exploring.

This post draws on content published by StrongDM: How to Implement Zero Trust (Step-by-Step Guide). Read the original.