Secrets Management Tools Compared for Kubernetes Deployments

Kubernetes Secrets are base64-encoded, not encrypted, and they sit in etcd by default. Anyone with control plane access can read them in plain text. That single fact is why secrets management for Kubernetes turned into its own discipline, and why picking the wrong tool now costs teams real engineering hours later. This piece maps the major options, HashiCorp Vault, OpenBao, AWS Secrets Manager, External Secrets Operator, Infisical, Doppler, Akeyless, CyberArk Conjur, Keeper Secrets Manager, and Mozilla SOPS, to the situations where each one actually earns its place.

The failure mode is boring, and that's the point. Credentials sit in plain view of any process sharing the pod. Credentials appear in error logs. A stray kubectl exec can read them straight out of the container. Someone commits a .env file to version control and the secret is now in git history forever, even after the file gets deleted in a later commit. None of that is a sophisticated attack. It's a default nobody changed, left alone long enough for something to go wrong.

How to frame the decision before evaluating any tool

Skip the feature comparison for a minute. Four questions settle most of this decision before a single product gets evaluated.

Where do the workloads run? Single cloud, multiple clouds, or some hybrid mix of cloud and on-prem changes the shortlist immediately, before functionality even enters the conversation. How mature is the team, operationally speaking? Running a highly available Vault cluster, with unsealing procedures, token lifecycle, and policy administration, is a real job. Some teams are better off paying someone else to carry that weight instead of hiring for it. Then there's the overhead budget: how many engineering hours can the team spend on vault operations and policy tuning in a given month, month after month? And compliance posture decides plenty on its own. SOC 2, HIPAA, FedRAMP, or an industry-specific rule will rule out certain tools completely.

Rough shorthand going into 2026: single-cloud teams tend to land on AWS Secrets Manager, GCP Secret Manager, or Azure Key Vault. Multi-cloud or hybrid setups point toward HashiCorp Vault, Infisical, Akeyless, or Doppler. If open source licensing is a hard requirement, the field narrows to Infisical, OpenBao, or SOPS. Kubernetes-heavy environments usually pair External Secrets Operator with a central vault, or run the HashiCorp Vault Secrets Operator directly. GitOps workflows favor SOPS or ESO. Regulated industries lean on CyberArk Conjur, HashiCorp Vault, or Keeper Secrets Manager. Teams optimizing for developer speed over enterprise depth usually pick Doppler or Infisical.

One distinction gets blurred constantly, and it shouldn't be: key management systems and secrets managers are not the same product, even when the same vendor sells both. A key management system generates and manages cryptographic keys. A secrets manager stores passwords, connection strings, and API keys, and uses those keys to encrypt them. AWS KMS and AWS Secrets Manager, sold by the same company, make the split easy to see. No tool on this list wins in every scenario, and anyone telling you otherwise is selling something. The job here is matching the tool to the situation.

HashiCorp Vault and OpenBao: the same engine, a forked road

HashiCorp Vault is still the reference point everyone else gets measured against, offering dynamic short-lived credentials, encryption-as-a-service through the Transit engine, a PKI engine, and a plugin ecosystem wide enough to cover almost any backend, available self-managed or through HCP.

Dynamic secrets are the feature that actually separates Vault from a plain key-value store. Instead of handing an application a static database password, Vault generates a temporary credential on request with a short time-to-live, and once that TTL expires, the credential gets revoked automatically. A credential leaked three hours ago is already dead by the time anyone tries to use it. The Transit engine does something similar for encryption: applications call an API to encrypt or decrypt data without ever touching the raw key, which matters a lot when the data in question is PII, payment information, or health records.

None of that runs itself. High-availability configuration, unsealing, token lifecycle, and policy administration are largely manual work, and teams that skip building real operational muscle around Vault tend to find out the hard way during an incident, not before one.

Then there's the question of who owns it, which changed everything. IBM closed its acquisition of HashiCorp in February 2025, and HashiCorp's operations folded fully into IBM by September 2025, with products renamed into IBM's automation lineup. HCP Vault Secrets, the SaaS-only tier, got sunset. The HCP Vault Dedicated Starter tier got discontinued too. Teams that relied on either one now face a push toward Dedicated, Enterprise, or self-hosting the Community Edition, and every one of those paths costs more money or more operational effort than what they had before.

Licensing sits on top of that. Business Source License 1.1 governs Vault, permitting production use but blocking anyone from offering Vault as a hosted or embedded service that competes with HashiCorp's own paid products. Vault has also had its share of severe vulnerabilities over the years, including critical flaws that allowed remote code execution, so staying current on patches is not optional; it's the job. Vault fits best where a dedicated platform engineering team already exists to run it, in multi-cloud, compliance-heavy environments that can absorb the overhead.

OpenBao is the answer for teams that want Vault's engine without Vault's new landlord. It's a community fork of the last MPL 2.0-licensed version of Vault, hosted under the Linux Foundation. IBM engineers from the Open Horizon project are among the key organizers, but OpenBao is not an official IBM product, and that distinction matters to anyone who reads license terms closely.

OpenBao is steadily pulling features that used to live only behind Vault's Enterprise paywall, namespaces, HSM auto-unseal, the Transform engine, into its open-source tier. Several companies now offer commercial support for it, including ControlPlane. Because it forked from a mature version of Vault, OpenBao carries full feature parity for KV storage, PKI, dynamic database credentials, Kubernetes auth, and high availability built on a consensus-based replication protocol.

The real decision between the two centers on who controls the roadmap, not features. It's about who controls the roadmap. Vault sits under BSL 1.1 with IBM steering it. OpenBao sits under MPL 2.0 with Linux Foundation governance, answering to no single vendor. If BSL terms are a blocker for the business, or if IBM's control over the roadmap is a dealbreaker, OpenBao is a drop-in alternative, and it's actively diverging from Vault now rather than just trailing behind it.

AWS Secrets Manager: low friction on a single cloud, expensive at scale

For teams already living inside AWS, Secrets Manager removes almost all the setup friction. It's fully managed, plugs into AWS KMS for encryption at rest and in transit, uses IAM for fine-grained access control, logs everything through CloudTrail, and replicates across regions out of the box. Rotation runs automatically for RDS, Redshift, and DocumentDB, and Lambda functions handle rotation for custom secret types.

The pricing looks simple at first: $0.40 per secret per month, plus a small charge per 10,000 API calls. Cross-region replicas get billed as separate secrets.

The bill grows faster than most teams plan for, and here's where the math actually gets uncomfortable. Fifty secrets spread across three environments runs around $60 a month before API calls even get counted. A hundred production secrets replicated across four environments, prod, staging, QA, and dev, works out to 400 secrets and roughly $180 a month. Once AWS KMS charges for customer-managed keys and Lambda charges for rotation functions get folded in, the real cost typically lands closer to 70% above that sticker figure, not on top of it as an afterthought but baked into every monthly bill from month one.

Secrets Manager is the right call for a single-cloud AWS shop that wants zero setup pain and doesn't mind paying AWS's premium for that convenience. It gets expensive fast for anyone running secrets across multiple clouds or managing them at real scale, and teams that pick it for a multi-cloud roadmap they haven't built yet often find the costs and constraints compound quickly.

External Secrets Operator: the Kubernetes delivery layer, not a vault replacement

External Secrets Operator, ESO, does one job: it pulls secrets from an external system (AWS Secrets Manager, HashiCorp Vault, GCP Secret Manager, Infisical, whatever backend a team already runs) and syncs them into native Kubernetes Secrets objects. It's an integration layer sitting on top of a vault, not a vault replacement, and that distinction decides which security guarantees actually carry over and which ones get left entirely to the backend.

ESO supports multiple backend providers at once, which matters in hybrid or multi-cloud setups where different teams keep their secrets in different systems. It's become the de facto standard for syncing external secrets into Kubernetes. Teams standardized on Vault specifically may also have operator-based options for tighter Kubernetes integration.

Secrets synced through ESO still land in etcd as regular Kubernetes Secrets, base64-encoded, not encrypted, which is exactly the problem this whole conversation started with. ESO does not fix that on its own. Etcd encryption-at-rest still needs separate configuration before any real compliance requirement gets satisfied. Skipping that step and assuming ESO handles it is one of the most common mistakes in Kubernetes secrets architecture, and this gap only surfaces during an audit or a breach.

Infisical, Doppler, and Akeyless: managed options for teams avoiding operational overhead

Not every team wants to run vault infrastructure. Three products built specifically for that reality look different enough from each other to earn separate treatment.

Infisical runs an open-source core under the MIT license, and it can be self-hosted for free or run as Infisical Cloud. The free tier covers up to five identities and includes the dashboard, CLI, SDKs, a Kubernetes Operator, the Infisical Agent, all integrations, secret referencing and overrides, secret scanning, and community Slack support. The Pro tier runs $18 per identity per month and adds secret versioning, point-in-time recovery, RBAC, secret rotation, temporary access provisioning, SAML SSO, IP allowlisting, and 90-day audit log retention. Its integrations cover major cloud providers alongside Kubernetes and CI/CD workflows, which solves the fragmentation that occurs when a team runs AWS Secrets Manager across more than one cloud. Self-hosting relies on PostgreSQL and Redis, a stack most platform teams already know how to run. Infisical also added an Agent Vault aimed at AI agent and non-human identity credential management. Along with OpenBao, it's one of two options on this list with genuinely permissive open-source terms, and it fits product teams and AI startups that want a developer-first workflow and real multi-cloud coverage without taking on Vault's operational load.

Doppler is SaaS-only and cloud-agnostic by design, syncing secrets to wherever the application happens to run. Its project structure maps cleanly to applications and environments, with native secret referencing and branching, and it supports automated syncing into Kubernetes environments. Doppler connects to a wide range of tools and platforms. It isn't built for air-gapped deployments or heavily regulated enterprises, and its dynamic secrets generation doesn't go nearly as deep as Vault's. It fits startups and product teams that care more about setup speed and a clean developer workflow than deep enterprise controls.

Akeyless takes a third path: SaaS-native, but with a stateless Gateway that deploys inside the customer's own environment, giving local caching and continuity if the connection to Akeyless drops. Its Distributed Fragments Cryptography lets a customer optionally hold onto a fragment of the encryption key themselves, so secrets can't be decrypted outside the customer's environment once that option gets turned on. Akeyless holds SOC 2 Type II and ISO 27001 certification, and its cryptographic modules carry FIPS 140-3 validation. It's positioned as the multi-cloud SaaS alternative to running Vault yourself, built for enterprises that need compliance certifications and a zero-trust posture without taking on vault infrastructure.

CyberArk Conjur, Keeper Secrets Manager, and Mozilla SOPS: three specialized fits

Three more tools solve narrower problems well enough to deserve their own space, even if none of them tries to be the whole answer.

CyberArk Conjur's open-source edition is free and self-hostable, built specifically around machine identities, applications, containers, and CI/CD pipelines rather than human users. It integrates deeply with Kubernetes, Ansible, and Jenkins, and handles RBAC through policy-as-code written in YAML. The commercial path leads into CyberArk's broader Secrets Manager and privileged access management portfolio, a natural upgrade for organizations already standardized on CyberArk elsewhere. Its open-source community and developer tooling are more mature in some areas than others. Conjur makes the most sense for enterprises with existing CyberArk PAM investments looking to extend those same controls into DevOps.

Keeper Secrets Manager runs fully cloud-based on a zero-trust architecture, and it's part of the broader KeeperPAM platform, which combines secrets management with password management, and zero-trust network access in one place. Its integrations extend that reach further into infrastructure teams already managing credentials at the human and machine level together, one platform covering both sides of the access problem instead of stitching two separate tools together and hoping the seams hold.