KeyRunner

KeyRunner turns approved enterprise APIs into policy-controlled agent actions—so agents can retrieve data and take approved actions without receiving raw credentials, unrestricted access, or sensitive responses. KeyRunner sits between an AI agent and downstream systems. For every tool call, it can: * Import APIs from OpenAPI specifications and expose them as named agent tools * Enforce identity-aware, role-based, and action-level policy before execution * Inject credentials from approved secret stores only at runtime * Validate parameters and restrict high-risk actions * Require human approval for consequential write operations * Redact sensitive response data before it returns to the model * Generate a complete audit record of the request, policy decision, approval, and outcome KeyRunner supports agent frameworks and clients such as Claude, ChatGPT, Cursor, and internal enterprise agents, with deployment options designed for organizations that need strong control over data, credentials, and API access. **Use cases:** secure MCP and agent tool execution, API access governance, runtime secret isolation, approval-gated workflows, and audit-ready enterprise agent operations.