The 10 Best Secrets Management Tools for LLM Applications in 2027

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📅 Published Jun 27, 2026 · Updated Jun 27, 2026 · 8 min read

The 10 Best Secrets Management Tools for LLM Applications in 2027

LLM applications are unusually rich in secrets: provider API keys for OpenAI, Anthropic, and others; vector database credentials; cloud and GPU access; webhook signing keys; and per-tenant tokens. A single leaked model-provider key can run up a five-figure bill in hours, and hard-coded keys in code or notebooks remain one of the most common breaches.

Secrets management tools centralize these credentials, encrypt them, control who and what can read them, rotate them, and produce an audit trail. This ranking covers the ten secrets management tools LLM teams rely on most in 2027.

Direct Answer

HashiCorp Vault is the best overall because it centralizes secrets with fine-grained policies, dynamic short-lived credentials, automatic rotation, and broad integration, which is exactly what a multi-provider LLM stack needs. Infisical is the best value because it delivers modern developer-friendly secrets management — sync, rotation, and a clean UI — with a generous open-source core that small AI teams can self-host for free.

Your choice depends on whether you want a powerful self-hosted platform (Vault, OpenBao, Infisical), a cloud-native managed service (AWS, Azure, GCP, Doppler), or developer-focused simplicity (1Password, Infisical, Doppler).

How We Ranked These

We evaluated each tool on five criteria: security model (encryption, access policies, dynamic and short-lived secrets), rotation and lifecycle (automatic rotation and revocation), developer experience (SDKs, CLI, sync to runtimes), integration breadth (clouds, Kubernetes, CI/CD, and LLM gateways), and auditability and governance.

Because LLM keys are high-value and widely shared across services, we weight the security model and rotation most heavily.

flowchart LR APP[LLM app / gateway] --> SM[Secrets manager] SM --> ENC[Encrypted store + access policy] SM --> ROT[Rotation + revocation] SM --> AUD[Audit log] ENC --> KEYS[Provider keys / DB creds / tokens]

1. HashiCorp Vault 🏆 BEST OVERALL

HashiCorp Vault is the industry-standard secrets management platform. It stores and encrypts secrets centrally, enforces fine-grained access through policies and authentication methods, and can issue dynamic secrets — short-lived, on-demand credentials for databases and clouds — plus automatic rotation and detailed audit logs.

For an LLM stack juggling many provider keys and database credentials, Vault's depth and integrations make it the safe default.

What it is: centralized secrets platform with dynamic secrets and policies. Strengths: dynamic short-lived creds, rotation, fine-grained policies, huge integration ecosystem, audit logging. Best for: teams needing enterprise-grade, multi-system secrets control.

Pricing/availability: open-source community edition; HCP Vault managed and Vault Enterprise tiers.

2. Infisical 💎 BEST VALUE

Infisical is a modern open-source secrets management platform focused on developer experience: a clean dashboard, CLI, SDKs, secret syncing to runtimes and CI, secret scanning, and rotation. It is easy to self-host and has a generous free tier, making it ideal for AI startups that want proper secrets hygiene without Vault's operational weight.

What it is: open-source, developer-first secrets manager. Strengths: great DX, sync and rotation, secret scanning, self-hostable, generous free tier. Best for: startups and teams wanting modern secrets management cheaply. Pricing/availability: open-source free; Infisical Cloud with free and paid tiers.

3. AWS Secrets Manager

AWS Secrets Manager is Amazon's managed service for storing, retrieving, and automatically rotating secrets, with tight integration into IAM, Lambda-driven rotation, and the broader AWS ecosystem. For LLM apps running on AWS — calling provider APIs from ECS, EKS, or Lambda — it offers native, low-friction secret storage with rotation and fine-grained IAM control.

What it is: managed AWS secrets service with built-in rotation. Strengths: native AWS/IAM integration, automatic rotation, encryption with KMS, audit via CloudTrail. Best for: AWS-hosted LLM applications. Pricing/availability: pay per secret per month plus API calls.

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4. Azure Key Vault

Azure Key Vault is Microsoft's managed service for secrets, keys, and certificates, integrated with Azure AD (Entra ID) for access control and with managed identities so apps fetch secrets without storing credentials. For LLM workloads on Azure or using Azure OpenAI, it provides native, governed secret storage with HSM-backed key options.

What it is: managed Azure store for secrets, keys, and certificates. Strengths: Entra ID integration, managed identities, HSM-backed keys, Azure-native. Best for: Azure and Azure OpenAI deployments. Pricing/availability: pay per operation; standard and premium (HSM) tiers.

5. Google Secret Manager

Google Secret Manager is GCP's managed secrets service with versioning, IAM-based access control, automatic replication, and CMEK encryption. It integrates cleanly with Cloud Run, GKE, and Vertex AI, making it the natural choice for LLM applications built on Google Cloud and using Gemini or Vertex endpoints.

What it is: managed GCP secrets service. Strengths: versioning, IAM control, replication, Vertex/GKE integration, audit logging. Best for: GCP-hosted AI applications. Pricing/availability: pay per secret version and access operation.

6. Doppler

Doppler is a SecretOps platform that centralizes secrets and syncs them across environments, services, and clouds with a polished UI, CLI, and many integrations. It excels at managing the same secrets consistently across local development, CI, and production, which suits AI teams running services across multiple platforms and frameworks.

What it is: SecretOps platform for syncing secrets everywhere. Strengths: broad integrations, environment sync, clean UX, access controls. Best for: teams wanting consistent secrets across many environments. Pricing/availability: free tier; paid team and enterprise tiers.

7. 1Password Secrets Automation

1Password extends its trusted password manager into developer secrets with Secrets Automation, the op CLI, SDKs, and Connect/Service Accounts for injecting secrets into apps and CI without hard-coding. Teams already using 1Password get a low-friction way to manage provider keys and credentials with strong human-and-machine access controls.

What it is: password manager with developer secrets automation. Strengths: familiar UX, CLI/SDK injection, CI integration, strong access controls. Best for: teams standardized on 1Password wanting developer secrets. Pricing/availability: included in business plans plus Secrets Automation add-ons.

8. OpenBao

OpenBao is the open-source, Linux Foundation-governed fork of HashiCorp Vault, created after Vault's license change. It offers Vault-compatible secrets management — dynamic secrets, policies, encryption — under a fully open MPL license. Teams wanting Vault's capabilities without licensing concerns increasingly adopt it.

What it is: open-source Vault-compatible secrets platform. Strengths: Vault-like features, fully open license, community governance, dynamic secrets. Best for: teams wanting Vault's power with an open license. Pricing/availability: free open-source.

9. AWS Systems Manager Parameter Store

Parameter Store is a simpler, lower-cost AWS option for storing configuration and secrets, with SecureString parameters encrypted by KMS and IAM-based access. It lacks built-in rotation as rich as Secrets Manager but is a practical, economical choice for smaller LLM apps storing a handful of API keys on AWS.

What it is: AWS configuration and secrets store with encrypted parameters. Strengths: low cost, KMS encryption, IAM control, simple integration. Best for: smaller AWS apps with modest secret needs. Pricing/availability: free standard tier; advanced parameters and higher throughput cost extra.

10. SOPS with age/KMS

SOPS (Secrets OPerationS) is an open-source tool for encrypting secrets directly inside files (YAML, JSON, .env) using keys from age, AWS KMS, GCP KMS, or Azure Key Vault. It enables a GitOps-friendly workflow where encrypted secrets live safely in version control and are decrypted at deploy time, popular with Kubernetes and Flux/Argo CD users running AI workloads.

What it is: file-level secrets encryption for GitOps. Strengths: encrypted secrets in Git, multiple key backends, GitOps fit, no server to run. Best for: Kubernetes/GitOps teams managing config secrets. Pricing/availability: free open-source.

How to Choose for Your LLM App

If you need enterprise-grade control with dynamic, short-lived credentials across many systems, run Vault or OpenBao. If you want modern secrets hygiene cheaply, Infisical or Doppler gets you there fast. If your app lives entirely in one cloud, the native service — AWS Secrets Manager, Azure Key Vault, or Google Secret Manager — gives the smoothest IAM integration.

For Kubernetes GitOps, pair a manager with SOPS so encrypted secrets ride safely in Git. Whatever you pick, the non-negotiables for LLM apps are the same: never hard-code provider keys, scope keys narrowly per service or tenant, rotate them, and alert on anomalous spend tied to a leaked key.

Frequently Asked Questions

Why do LLM applications need dedicated secrets management? LLM apps hold high-value provider API keys that can rack up large bills if leaked, plus database and cloud credentials. Centralized secrets management encrypts these, controls access, rotates them, and audits use, replacing the dangerous habit of hard-coding keys in code or notebooks.

What is the difference between Vault and a cloud secrets manager? Vault is a self-managed (or HCP-managed) platform with dynamic secrets and deep policy control across many systems, while cloud services like AWS Secrets Manager or Azure Key Vault are fully managed and integrate natively with that cloud's IAM.

Vault is more powerful and portable; cloud services are simpler within one provider.

How should I handle per-tenant API keys in a multi-tenant LLM app? Store them in a secrets manager keyed by tenant, scope each key narrowly, rotate regularly, and fetch them at runtime rather than embedding them. Pairing this with an LLM gateway that enforces per-tenant budgets limits the blast radius if a key leaks.

Are OpenBao and Vault interchangeable? OpenBao is an open-source fork of Vault and is largely compatible, offering the same core capabilities under a fully open MPL license. Teams choose OpenBao mainly to avoid Vault's license terms while keeping Vault-style secrets management.

What is the cheapest good option for a small AI startup? Self-hosting Infisical or using its free cloud tier gives modern secrets management at no cost, and SOPS is free for GitOps workflows. On AWS, Parameter Store's standard tier is essentially free for a handful of keys.

Sources

HashiCorp Vault documentation — https://developer.hashicorp.com/vault/docs
Infisical documentation — https://infisical.com/docs
AWS Secrets Manager documentation — https://docs.aws.amazon.com/secretsmanager/
Azure Key Vault documentation — https://learn.microsoft.com/azure/key-vault/
Google Secret Manager documentation — https://cloud.google.com/secret-manager/docs
Doppler documentation — https://docs.doppler.com/
1Password Secrets Automation — https://developer.1password.com/docs/
OpenBao documentation — https://openbao.org/docs/
SOPS project — https://github.com/getsops/sops

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# The 10 Best Secrets Management Tools for LLM Applications in 2027

LLM applications are unusually rich in secrets: provider API keys for OpenAI, Anthropic, and others; vector database credentials; cloud and GPU access; webhook signing keys; and per-tenant tokens. A single leaked model-provider key can run up a five-figure bill in hours, and hard-coded keys in code or notebooks remain one of the most common breaches. **Secrets management tools** centralize these credentials, encrypt them, control who and what can read them, rotate them, and produce an audit trail. This ranking covers the ten secrets management tools LLM teams rely on most in 2027.

### Direct Answer
**HashiCorp Vault** is the best overall because it centralizes secrets with fine-grained policies, dynamic short-lived credentials, automatic rotation, and broad integration, which is exactly what a multi-provider LLM stack needs. **Infisical** is the best value because it delivers modern developer-friendly secrets management — sync, rotation, and a clean UI — with a generous open-source core that small AI teams can self-host for free. Your choice depends on whether you want a powerful self-hosted platform (Vault, OpenBao, Infisical), a cloud-native managed service (AWS, Azure, GCP, Doppler), or developer-focused simplicity (1Password, Infisical, Doppler).

## How We Ranked These
We evaluated each tool on five criteria: **security model** (encryption, access policies, dynamic and short-lived secrets), **rotation and lifecycle** (automatic rotation and revocation), **developer experience** (SDKs, CLI, sync to runtimes), **integration breadth** (clouds, Kubernetes, CI/CD, and LLM gateways), and **auditability and governance**. Because LLM keys are high-value and widely shared across services, we weight the security model and rotation most heavily.

```mermaid
flowchart LR
    APP[LLM app / gateway] --> SM[Secrets manager]
    SM --> ENC[Encrypted store + access policy]
    SM --> ROT[Rotation + revocation]
    SM --> AUD[Audit log]
    ENC --> KEYS[Provider keys / DB creds / tokens]
```

## 1. HashiCorp Vault 🏆 BEST OVERALL
**HashiCorp Vault** is the industry-standard secrets management platform. It stores and encrypts secrets centrally, enforces fine-grained access through policies and authentication methods, and can issue **dynamic secrets** — short-lived, on-demand credentials for databases and clouds — plus automatic rotation and detailed audit logs. For an LLM stack juggling many provider keys and database credentials, Vault's depth and integrations make it the safe default.

**What it is:** centralized secrets platform with dynamic secrets and policies. **Strengths:** dynamic short-lived creds, rotation, fine-grained policies, huge integration ecosystem, audit logging. **Best for:** teams needing enterprise-grade, multi-system secrets control. **Pricing/availability:** open-source community edition; HCP Vault managed and Vault Enterprise tiers.

## 2. Infisical 💎 BEST VALUE
**Infisical** is a modern open-source secrets management platform focused on developer experience: a clean dashboard, CLI, SDKs, secret syncing to runtimes and CI, secret scanning, and rotation. It is easy to self-host and has a generous free tier, making it ideal for AI startups that want proper secrets hygiene without Vault's operational weight.

**What it is:** open-source, developer-first secrets manager. **Strengths:** great DX, sync and rotation, secret scanning, self-hostable, generous free tier. **Best for:** startups and teams wanting modern secrets management cheaply. **Pricing/availability:** open-source free; Infisical Cloud with free and paid tiers.

## 3. AWS Secrets Manager
**AWS Secrets Manager** is Amazon's managed service for storing, retrieving, and automatically rotating secrets, with tight integration into IAM, Lambda-driven rotation, and the broader AWS ecosystem. For LLM apps running on AWS — calling provider APIs from ECS, EKS, or Lambda — it offers native, low-friction secret storage with rotation and fine-grained IAM control.

**What it is:** managed AWS secrets service with built-in rotation. **Strengths:** native AWS/IAM integration, automatic rotation, encryption with KMS, audit via CloudTrail. **Best for:** AWS-hosted LLM applications. **Pricing/availability:** pay per secret per month plus API calls.


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## 4. Azure Key Vault
**Azure Key Vault** is Microsoft's managed service for secrets, keys, and certificates, integrated with Azure AD (Entra ID) for access control and with managed identities so apps fetch secrets without storing credentials. For LLM workloads on Azure or using Azure OpenAI, it provides native, governed secret storage with HSM-backed key options.

**What it is:** managed Azure store for secrets, keys, and certificates. **Strengths:** Entra ID integration, managed identities, HSM-backed keys, Azure-native. **Best for:** Azure and Azure OpenAI deployments. **Pricing/availability:** pay per operation; standard and premium (HSM) tiers.

## 5. Google Secret Manager
**Google Secret Manager** is GCP's managed secrets service with versioning, IAM-based access control, automatic replication, and CMEK encryption. It integrates cleanly with Cloud Run, GKE, and Vertex AI, making it the natural choice for LLM applications built on Google Cloud and using Gemini or Vertex endpoints.

**What it is:** managed GCP secrets service. **Strengths:** versioning, IAM control, replication, Vertex/GKE integration, audit logging. **Best for:** GCP-hosted AI applications. **Pricing/availability:** pay per secret version and access operation.

## 6. Doppler
**Doppler** is a SecretOps platform that centralizes secrets and syncs them across environments, services, and clouds with a polished UI, CLI, and many integrations. It excels at managing the same secrets consistently across local development, CI, and production, which suits AI teams running services across multiple platforms and frameworks.

**What it is:** SecretOps platform for syncing secrets everywhere. **Strengths:** broad integrations, environment sync, clean UX, access controls. **Best for:** teams wanting consistent secrets across many environments. **Pricing/availability:** free tier; paid team and enterprise tiers.

## 7. 1Password Secrets Automation
**1Password** extends its trusted password manager into developer secrets with **Secrets Automation**, the `op` CLI, SDKs, and Connect/Service Accounts for injecting secrets into apps and CI without hard-coding. Teams already using 1Password get a low-friction way to manage provider keys and credentials with strong human-and-machine access controls.

**What it is:** password manager with developer secrets automation. **Strengths:** familiar UX, CLI/SDK injection, CI integration, strong access controls. **Best for:** teams standardized on 1Password wanting developer secrets. **Pricing/availability:** included in business plans plus Secrets Automation add-ons.

## 8. OpenBao
**OpenBao** is the open-source, Linux Foundation-governed fork of HashiCorp Vault, created after Vault's license change. It offers Vault-compatible secrets management — dynamic secrets, policies, encryption — under a fully open MPL license. Teams wanting Vault's capabilities without licensing concerns increasingly adopt it.

**What it is:** open-source Vault-compatible secrets platform. **Strengths:** Vault-like features, fully open license, community governance, dynamic secrets. **Best for:** teams wanting Vault's power with an open license. **Pricing/availability:** free open-source.

## 9. AWS Systems Manager Parameter Store
**Parameter Store** is a simpler, lower-cost AWS option for storing configuration and secrets, with **SecureString** parameters encrypted by KMS and IAM-based access. It lacks built-in rotation as rich as Secrets Manager but is a practical, economical choice for smaller LLM apps storing a handful of API keys on AWS.

**What it is:** AWS configuration and secrets store with encrypted parameters. **Strengths:** low cost, KMS encryption, IAM control, simple integration. **Best for:** smaller AWS apps with modest secret needs. **Pricing/availability:** free standard tier; advanced parameters and higher throughput cost extra.

## 10. SOPS with age/KMS
**SOPS** (Secrets OPerationS) is an open-source tool for encrypting secrets directly inside files (YAML, JSON, .env) using keys from **age**, AWS KMS, GCP KMS, or Azure Key Vault. It enables a GitOps-friendly workflow where encrypted secrets live safely in version control and are decrypted at deploy time, popular with Kubernetes and Flux/Argo CD users running AI workloads.

**What it is:** file-level secrets encryption for GitOps. **Strengths:** encrypted secrets in Git, multiple key backends, GitOps fit, no server to run. **Best for:** Kubernetes/GitOps teams managing config secrets. **Pricing/availability:** free open-source.

## How to Choose for Your LLM App
If you need enterprise-grade control with dynamic, short-lived credentials across many systems, run **Vault** or **OpenBao**. If you want modern secrets hygiene cheaply, **Infisical** or **Doppler** gets you there fast. If your app lives entirely in one cloud, the **native service** — AWS Secrets Manager, Azure Key Vault, or Google Secret Manager — gives the smoothest IAM integration. For Kubernetes GitOps, pair a manager with **SOPS** so encrypted secrets ride safely in Git. Whatever you pick, the non-negotiables for LLM apps are the same: never hard-code provider keys, scope keys narrowly per service or tenant, rotate them, and alert on anomalous spend tied to a leaked key.

## Frequently Asked Questions

**Why do LLM applications need dedicated secrets management?**
LLM apps hold high-value provider API keys that can rack up large bills if leaked, plus database and cloud credentials. Centralized secrets management encrypts these, controls access, rotates them, and audits use, replacing the dangerous habit of hard-coding keys in code or notebooks.

**What is the difference between Vault and a cloud secrets manager?**
Vault is a self-managed (or HCP-managed) platform with dynamic secrets and deep policy control across many systems, while cloud services like AWS Secrets Manager or Azure Key Vault are fully managed and integrate natively with that cloud's IAM. Vault is more powerful and portable; cloud services are simpler within one provider.

**How should I handle per-tenant API keys in a multi-tenant LLM app?**
Store them in a secrets manager keyed by tenant, scope each key narrowly, rotate regularly, and fetch them at runtime rather than embedding them. Pairing this with an LLM gateway that enforces per-tenant budgets limits the blast radius if a key leaks.

**Are OpenBao and Vault interchangeable?**
OpenBao is an open-source fork of Vault and is largely compatible, offering the same core capabilities under a fully open MPL license. Teams choose OpenBao mainly to avoid Vault's license terms while keeping Vault-style secrets management.

**What is the cheapest good option for a small AI startup?**
Self-hosting **Infisical** or using its free cloud tier gives modern secrets management at no cost, and **SOPS** is free for GitOps workflows. On AWS, Parameter Store's standard tier is essentially free for a handful of keys.

## Sources
- HashiCorp Vault documentation — https://developer.hashicorp.com/vault/docs
- Infisical documentation — https://infisical.com/docs
- AWS Secrets Manager documentation — https://docs.aws.amazon.com/secretsmanager/
- Azure Key Vault documentation — https://learn.microsoft.com/azure/key-vault/
- Google Secret Manager documentation — https://cloud.google.com/secret-manager/docs
- Doppler documentation — https://docs.doppler.com/
- 1Password Secrets Automation — https://developer.1password.com/docs/
- OpenBao documentation — https://openbao.org/docs/
- SOPS project — https://github.com/getsops/sops

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The 10 Best Secrets Management Tools for LLM Applications in 2027

The 10 Best Secrets Management Tools for LLM Applications in 2027

Direct Answer

How We Ranked These

1. HashiCorp Vault 🏆 BEST OVERALL

2. Infisical 💎 BEST VALUE

3. AWS Secrets Manager

4. Azure Key Vault

5. Google Secret Manager

6. Doppler

7. 1Password Secrets Automation

8. OpenBao

9. AWS Systems Manager Parameter Store

10. SOPS with age/KMS

How to Choose for Your LLM App

Frequently Asked Questions

Sources

What does the score mean?