Aembit use cases
Aembit replaces static secrets with identity-based access. It secures two kinds of non-human identity, AI Agent: A software workload that authenticates to systems, requests credentials, and accesses resources, either on behalf of a person or on its own. Aembit secures AI agents with the same identity-first model it uses for any workload. User-driven agents such as Claude Desktop also carry a blended identity that ties access to both the user and the agent.Learn more and Workload: Any non-human entity (application, service, automation, AI agent, etc.) that needs to access resources.Learn more, so find your starting point below based on what you’re securing.
Aembit secures AI access in both directions: AI agents reaching into your systems (directly or through MCP servers), and your own applications reaching out to LLM APIs. All three use cases share the same identity-first model.
Securing AI agent access to your resources Secure Claude Desktop, Gemini CLI, and other MCP clients with user-level access control and full audit trails.
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Securing MCP server access Front your MCP servers with the Identity Gateway so AI agents hold no credentials and every request is audited per user.
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Securing your applications' access to LLM APIs Eliminate embedded API keys for OpenAI, Anthropic, Azure OpenAI, and other LLM APIs. Control costs and prevent denial of wallet attacks.
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Workloads
Section titled “Workloads”Applications, services, pipelines, and databases all need credentials to reach the resources they depend on. Aembit issues those credentials just-in-time from verified identity, with no static secrets to store or leak.
Applications and services
Section titled “Applications and services” Credential Management Unify access to AWS Secrets Manager, Azure Key Vault, and HashiCorp Vault through a single identity-based policy layer.
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Microservices Security Replace shared service accounts with per-workload identity using SPIFFE JWT-SVID or OIDC tokens in your service mesh.
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CI/CD and automation
Section titled “CI/CD and automation” CI/CD Pipelines Eliminate hardcoded secrets in GitHub Actions, GitLab CI, and Jenkins. No agent required; it uses your platform's OIDC tokens.
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Data and analytics
Section titled “Data and analytics” Database Access Replace static database passwords with short-lived, identity-based credentials. No changes required on the database side.
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Infrastructure and platform
Section titled “Infrastructure and platform” Multicloud Environments Authenticate workloads in AWS, Azure, and GCP using their native identity, with unified policies across all environments.
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Third-Party Access Securely connect to external services like GitLab or Snowflake with automatic credential rotation.
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Quick reference
Section titled “Quick reference”| If you’re… | Start with | Complexity |
|---|---|---|
| Securing AI assistants and MCP clients | AI agent access | Moderate |
| Centralizing and auditing MCP server access | MCP server access | Moderate |
| Protecting LLM API access | LLM API access | Quick start |
| Securing CI/CD pipelines | CI/CD Pipelines | Quick start |
| Consolidating vault access | Credential Management | Moderate |
| Securing database access | Database Access | Moderate |
| Running Kubernetes microservices | Microservices Security | Moderate |
| Managing multiple cloud providers | Multicloud Environments | Advanced |
| Connecting to external SaaS APIs | Third-Party Access | Moderate |
See also
Section titled “See also”- How Aembit works - Architecture and deployment model
- Quickstart - Get started in minutes
- Security posture - Security architecture and compliance