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.
Provides a trust and governance layer for AI agents, enabling secure API access, credential vaulting, paid execution with human approval, and automatic call resume.
Enables AI agents to invoke upstream APIs without ever holding reusable credentials, using short-lived scoped capabilities and server-side secret injection. Also provides execution controls and x402 facilitator routing for secure agent actions.
Bounded egress gateway & secret proxy for AI agents and applications, enabling safe credential injection into upstream requests while keeping raw secrets out of LLM prompt contexts.
A governance proxy for AI tools — every MCP/agent tool call is policy-gated, secret-redacted, and written to a hash-chained, offline-verifiable audit trail.
Governed MCP gateway that lets AI agents call tools with policy enforcement, prompt-injection screening, a kill-switch, and tamper-evident signed audit logs.