Enables AI agents to securely store and manage encrypted secrets locally while using them indirectly through environment-variable injection or file writes, so plaintext values never enter the agent's context.
Enables AI agents to securely use API keys by storing them in an encrypted vault and injecting them on demand with user approval, without exposing the key values to the model.
Share encrypted, self-destructing secrets from your AI agent. Zero-knowledge E2E encryption. Agent-blind input sources (env:, file:, dotenv:) keep secrets out of LLM context.
Enables AI agents to securely use real secrets (API keys, database passwords) by requiring human approval for each release, ensuring secrets never enter the model's context.
Enables AI agents to make authenticated API calls and run commands with secrets injected, while keeping credentials completely hidden from the model, with policy enforcement, grants, and audit logging.
Enables LLM agents to securely use credentials like passwords and API keys without exposing them in the context window, through encrypted storage and proxy-based injection.