A pre-action authorization server for AI agents that classifies tool calls into 14 intent categories, scores risk 0-100, and produces deterministic allow/deny/ask decisions with full audit trail.
A secure middleware that intercepts AI agent tool calls to evaluate risks and manage human-in-the-loop approvals via durable Inngest workflows. It ensures compliance with standards like the EU AI Act by pausing high-risk actions until authorized by a human reviewer.
Deterministic policy enforcement for AI agent tool calls. It evaluates every tool call against user-defined rules before execution, with no LLM in the authorization path.
Pre-execution governance for AI agents. 45 MCP tools for hold queues, audit trails, risk scoring, and policy enforcement. Validates agent actions before they execute.