A Kubernetes Helm Chart is a packaged set of templates and values used to deploy applications into Kubernetes clusters. It defines resources, configuration, and variable inputs that can be rendered into manifests. If chart inputs are not tightly controlled, they may become a route for file inclusion, secret exposure, or privilege abuse.
Expanded Definition
A Kubernetes Helm Chart is a deployment package that turns application configuration into repeatable Kubernetes manifests. In NHI security, the chart matters because it often carries the values, templates, and hooks that decide where secrets are mounted, which service accounts are used, and whether workloads inherit more privilege than intended. This sits adjacent to container orchestration, but it is not the same as runtime policy or cluster admission control.
Definitions vary across vendors on whether a chart should be treated as build artefact, deployment artefact, or policy-bearing infrastructure code. NHI Management Group treats it as all three when the chart can influence identity exposure, secret flow, or access pathways. That means chart review should cover image references, template logic, values files, and any mechanism that injects tokens or certificates. For broader governance context, teams often map chart handling to NIST Cybersecurity Framework 2.0 asset and access controls, then align rendering pipelines to cluster policy. The most common misapplication is treating charts as harmless packaging, which occurs when teams approve templates without reviewing the values used in production.
Examples and Use Cases
Implementing Helm chart controls rigorously often introduces release friction, requiring organisations to weigh deployment speed against tighter review of identity-sensitive configuration.
- A platform team scans chart templates for secret references before publishing to an internal repository, reducing the chance that a token is embedded in rendered manifests.
- A DevOps workflow uses a chart to create a service account and RoleBinding, but security teams require separate approval when the chart requests cluster-wide permissions.
- An application team passes database credentials through chart values, then later replaces that pattern with a secrets manager and runtime injection to reduce exposure.
- After a breach pattern similar to the Uber Breach, responders examine whether the chart allowed sensitive variables to be surfaced in logs or deployment metadata.
- Teams compare chart rendering behaviour with guidance in NIST Cybersecurity Framework 2.0 to ensure deployments do not weaken access boundaries.
Chart hardening is also relevant when organisations standardise repeatable deployments across environments, because the same template may behave safely in staging yet expose privileged paths in production if values differ.
Why It Matters in NHI Security
Helm Charts become an NHI issue when they determine how workloads obtain credentials, which identities they assume, and where those credentials are stored during deployment. A single misconfigured chart can expose secrets in plain text values, mount sensitive files into containers, or bind a workload to a service account with far broader access than the application needs. That turns a packaging tool into a control plane for privilege misuse.
This risk is not theoretical. NHI Management Group reports that 79% of organisations have experienced secrets leaks, and 97% of NHIs carry excessive privileges, which makes deployment tooling a high-value target for accidental exposure and lateral movement. The same governance lens used for identity lifecycle review should extend to chart provenance, chart signing, and values-file handling. Teams should also consider how chart repositories and CI/CD runners interact with identity material, especially when charts are reused across tenants or clusters. The most important NIST and NHI controls here are least privilege, secret minimisation, and change review before release.
Organisations typically encounter the consequences only after a chart-driven deployment leak, at which point Helm chart governance becomes operationally unavoidable to address.
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 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 | Charts often expose secrets and config paths that NHI-02 is meant to constrain. |
| NIST CSF 2.0 | PR.AC-4 | Helm charts influence how identities and access are provisioned into workloads. |
| NIST Zero Trust (SP 800-207) | Charts can undermine zero trust if they inject broad trust into workloads. | |
| NIST SP 800-63 | Credential handling in charts should preserve assurance and avoid weak secret patterns. | |
| OWASP Agentic AI Top 10 | If agents generate or modify charts, they can introduce unsafe deployment logic. |
Keep credentials out of chart values where possible and use stronger runtime-bound secrets handling.
Related resources from NHI Mgmt Group
- Why do Helm charts create repeated Kubernetes security risk?
- What breaks when a Helm chart depends on images that move to a legacy repository?
- How should security teams manage Kubernetes-native deployments of Falco as they move from Helm charts to an operator model?
- How should teams govern Kubernetes service accounts as NHI identities?
