Deploy Aembit Edge and the MCP Identity Gateway, build Access Policies for workloads and AI agents, and monitor access.
Choose your path
Install Edge Components on Kubernetes, virtual machines, serverless, and CI/CD platforms.
Define which Client Workloads reach which Server Workloads, and with what credentials.
Secure AI agent access to MCP servers with Access Policies and credential exchange.
OAuth 2.0 authorization for AI agent credential flows.
Integrate from code, commands, or infrastructure. Choose how your workload gets credentials at runtime, then how you manage the configuration behind it.
Attest your workload and retrieve credentials from TypeScript or Python.
Manage configuration through the Cloud API and retrieve credentials through the Edge API.
Retrieve credentials in CI/CD pipelines using GitLab, GitHub, or OIDC tokens.
Intercept your workload's traffic so its source needs no changes.
Learn what Aembit does, how workload identity works, and set up your first secure connection.
Look up supported platforms, identifier formats, and Edge Component versions.