An identity-aware authorization layer for AI agents that enforces OAuth scopes, contextual policies, and human approval workflows before executing sensitive actions. It provides controlled execution and audit trails for MCP tools.
A transparent proxy and execution firewall that intercepts and audits AI agent tool calls against configurable security policies before forwarding them to downstream MCP servers. It provides safe execution environments with features like data redaction, anti-loop protection, and unified alert dispatching.
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.
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.
A zero-trust security gateway for AI-agent tool execution, enforcing authentication, authorization, risk classification, and human confirmation before MCP tools run.
A zero-trust security gateway for MCP tool calls, inspecting tool identity, arguments, execution decisions, and returned content before risk reaches your coding agent.
