A policy-based security layer for AI agents and MCP tools that evaluates tool requests against security policies before allowing, denying, or requiring human approval for execution.
A protected Model Context Protocol server that gives AI agents distinct machine identities, enforces least-privilege OAuth permissions, applies contextual authorization policies, and pauses sensitive actions for human approval.
A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.
A zero-trust security gateway for AI-agent tool execution, enforcing authentication, authorization, risk classification, and human confirmation before MCP tools run.
MCP server that provides a security gateway for AI agents, enforcing allow/confirm/deny policies on tool calls and requiring human approval for risky operations, with full audit logging.