Kubernetes management tools expose the identity gap in cluster access

At a glance

What this is: This is a review of 20 Kubernetes management tools, with a clear takeaway that operational convenience must be matched by identity-aware access control.

Why it matters: It matters because Kubernetes administration often becomes a high-privilege identity problem, and IAM, PAM, and NHI teams need controls that follow the operator, workload, and session.

By the numbers:

• Only 5.7% of organisations have full visibility into their service accounts.
• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.
• 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.

👉 Read Pomerium's roundup of 20 Kubernetes management tools for 2025

Context

Kubernetes management tools are the operational layer that administrators use to deploy, observe, and change clusters at scale. The identity security problem appears when those tools become a shortcut to broad API access, shared credentials, and uncontrolled privilege across environments.

For IAM and NHI programmes, Kubernetes is not just an orchestration platform. It is a live example of how machine access, human operator access, and administrative privilege converge, which makes policy enforcement, session control, and lifecycle management part of the same governance problem.

Pomerium's article is a vendor-side roundup, but the underlying issue is broader than tool selection. The real question is which access paths are identity-aware, which are still network-trust based, and which create standing privilege across clusters.

Key questions

Q: How should security teams govern Kubernetes admin access in multi-cluster environments?

A: Security teams should govern Kubernetes admin access as privileged access, not general operations. Separate human, automation, and monitoring roles, require identity-aware policy at entry points, and recertify cluster-level permissions on a fixed schedule. The goal is to stop broad access from becoming the default operating model across every cluster.

Q: Why do Kubernetes management tools increase identity risk for IAM teams?

A: They concentrate high-impact cluster functions behind interfaces that are easy to reuse, script, or share. That creates standing privilege, credential sprawl, and weak accountability if lifecycle controls are missing. IAM teams should assume that every management path can become a privileged identity boundary.

Q: What breaks when Kubernetes access is controlled only by network location?

A: Network-only control breaks because it does not verify who is acting, what role they hold, or whether the access is still appropriate. In Kubernetes, that can allow a trusted network path to expose cluster-admin functions, secrets, and workloads. Identity-aware policy is needed to replace location as the trust signal.

Q: How do organisations reduce standing privilege in Kubernetes operations?

A: They reduce standing privilege by limiting persistent cluster-admin rights, separating break-glass access from daily operations, and tying each credential or role to an owner and an expiry condition. Access should be time-bounded, reviewable, and revoked when the operational need ends.

Technical breakdown

Why Kubernetes management tools become identity choke points

Kubernetes tools sit directly on top of the API server, which means they can expose deployment, secret, and configuration functions in one place. When operators rely on kubectl, dashboards, or management platforms without additional access controls, the tool becomes a high-value control plane rather than a neutral interface. The security problem is not Kubernetes itself, but how much authority the tool concentrates in a single session or credential. In practice, this creates a governance challenge across human admins and non-human automation alike.

Practical implication: treat every Kubernetes management interface as a privileged access surface and apply explicit identity policy before it reaches the cluster API.

Identity-aware proxy controls for Kubernetes access

An identity-aware proxy sits in front of applications or cluster resources and makes access decisions using user identity, device posture, and policy. That differs from a network control that only checks source location or tunnel membership. In Kubernetes environments, this matters because administrative access often comes from remote teams, ephemeral sessions, or shared operational channels. If the proxy is not aligned with the actual identity lifecycle, it can still permit broad access even while appearing to enforce zero trust. The control only works when access is evaluated at request time, not assumed from connectivity.

Practical implication: use contextual access policy for cluster entry points and avoid treating VPN presence or network reachability as proof of authority.

Multi-cluster operations and standing privilege

Multi-cluster administration increases the chance that access is reused across environments, roles, or tenants. Tools such as GitOps controllers, monitoring platforms, and terminal UIs often need broad read or write permissions, which can quietly turn into standing privilege if not scoped tightly. The governance risk is that operational convenience hides entitlement creep. For identity teams, this is the same structural problem seen in NHI sprawl: too many credentials, too much access, and too little lifecycle discipline around who or what can still act.

Practical implication: map cluster-admin and automation accounts to specific lifecycles, then review whether each tool truly needs persistent cross-cluster access.

Threat narrative

Attacker objective: The objective is to gain durable control over Kubernetes workloads and the secrets or configurations that govern them.

1. Entry occurs through administrative Kubernetes tools that expose the cluster API, dashboards, or automation interfaces to operators and service accounts.
2. Escalation follows when broad or shared permissions let the user or workload move from ordinary operations to cluster-wide configuration, secret, or workload control.
3. Impact is achieved when standing privilege lets an attacker or over-permissioned actor alter workloads, read sensitive data, or disrupt production services.

Breaches seen in the wild

• MongoBleed breach — MongoBleed exposed secrets across 87K MongoDB servers.
• IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.

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

NHI Mgmt Group analysis

Kubernetes management is an identity governance problem, not only an operations problem. The article's tool list is really a catalogue of privileged access surfaces: CLI, dashboards, monitoring, GitOps, and observability all sit close to sensitive cluster functions. Once those paths are normalised, the governance burden shifts from network perimeter control to identity, session, and entitlement control. Practitioners should therefore treat cluster management as a governed access domain, not a utility layer.

Standing privilege is the hidden failure mode in multi-cluster Kubernetes operations. Tools that are useful at scale often require permissions that persist longer than the task itself, especially when teams manage production, staging, and shared infrastructure from the same interface. That is the same structural problem NHI governance tries to solve in service accounts and API keys. Identity blast radius: the more cluster operations are centralised, the more damage a single credential, role, or session can do.

Secrets and service-account sprawl become operational debt as soon as Kubernetes workflows expand. The more teams depend on scripts, automation, and dashboard access, the more likely they are to leave credentials in code, config, or shared tooling. That is why the article should be read as an access-lifecycle warning as much as a tooling guide. Practitioners should use it to identify where cluster administration still depends on credentials that outlive the job they were created for.

Zero trust for Kubernetes only works when identity, not location, becomes the decision boundary. The article implicitly supports identity-aware proxies, SSO, and policy enforcement because Kubernetes management tools are too powerful to trust by network adjacency alone. This aligns with ZT-NIST-207 and the NIST Cybersecurity Framework 2.0, especially where protected access and continuous verification are concerned. The practical conclusion is that cluster access must be continuously evaluated, not inherited from the path used to reach it.

Human admin workflows and machine automation need the same lifecycle discipline, but for different reasons. Administrators need access reviews and session controls; automation needs scoped service identities, rotation, and offboarding. The article's real lesson is that Kubernetes collapses those two worlds into one platform, so governance fails if teams only secure the human side or only secure the workload side. Practitioners should manage both through one entitlement model with actor-specific controls.

From our research:

• Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
• Another 97% of NHIs carry excessive privileges, which means Kubernetes admin paths often sit inside a broader entitlement problem rather than an isolated tooling issue.
• For the lifecycle angle, see NHI Lifecycle Management Guide for how provisioning, rotation, and offboarding reduce standing access in machine identity programmes.

What this signals

Kubernetes programmes are increasingly judged on whether access is identity-aware end to end, not whether the cluster is merely reachable. The next maturity step is to align admin workflows, automation identities, and secrets handling under one entitlement model, then enforce it consistently across environments.

Identity blast radius: cluster tooling, GitOps controllers, observability platforms, and human admin paths all expand the same control surface when they share credentials or roles. That means the first audit question is not which tool you use, but which identities can still change production state.

As Kubernetes adoption grows, the practical bar for zero trust rises with it. Teams that still rely on long-lived secrets in code or shared access channels will find that the operational convenience they gained is now the main obstacle to governance.

For practitioners

• Separate admin, read-only, and automation access Define distinct Kubernetes roles for human operators, monitoring tools, and deployment automation. Avoid reusing the same credential or role across environments, and make cluster-admin an exception that requires explicit approval and periodic recertification.
• Front cluster access with identity-aware policy Place an identity-aware proxy in front of administrative entry points so access is decided on user identity, device posture, and policy instead of network location alone. This is especially important for remote operations and shared support channels.
• Audit secrets in code and pipeline tooling Search for credentials in repositories, deployment manifests, CI/CD jobs, and operational notes. Replace any persistent secret that can be tied to cluster management with a scoped identity or a shorter-lived access pattern.
• Review multi-cluster entitlement reuse Check whether the same account, token, or role spans production and non-production clusters. If it does, document the business reason, reduce the scope where possible, and assign an owner for lifecycle review and offboarding.

Key takeaways

• Kubernetes management tools are also privileged identity surfaces, which means access design matters as much as cluster design.
• The scale signal is clear: low service-account visibility and excessive privilege are already normal in many environments.
• Teams should reduce standing privilege by separating roles, using identity-aware policy, and tying every cluster credential to an owner and lifecycle.

Key terms

• Identity-Aware Proxy: An identity-aware proxy is an access control layer that makes decisions using user or workload identity, device context, and policy before traffic reaches an application or cluster. In Kubernetes environments, it helps replace location-based trust with request-time authorisation.
• Standing Privilege: Standing privilege is access that remains active beyond the immediate task, which increases the chance of misuse or lateral movement. In Kubernetes and NHI programmes, it usually appears as persistent cluster-admin rights, shared tokens, or long-lived automation permissions.
• Cluster Admin: Cluster admin is the highest-privilege role in Kubernetes, typically able to read, change, and delete major cluster resources. Because it can expose workloads, secrets, and configuration, it should be tightly scoped, time-bounded, and tied to named accountability in governance processes.
• Workload Identity: Workload identity is the identity assigned to a non-human process, service, or automation so it can authenticate and be authorised without relying on a human user account. In Kubernetes, it is the safer alternative to shared secrets when access must be machine-to-machine.

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 Pomerium: 20 Best Kubernetes Management Tools for 2025. Read the original.