The Control Plane for Autonomous AI
Enforce policy before execution, require human approvals where risk demands it, and keep a full audit trail — from first action to final result.
Provides AI ingress governance by masking prompts, classifying risk, and enforcing tool policies before agent calls reach model providers or sandboxes.
Automatically analyzes and optimizes AI prompts by calculating clarity scores, detecting risks, asking clarifying questions, and adding domain-specific requirements to improve AI interaction quality.
A secure tool-execution plane for agentic AI that enforces JWT authentication, rate limiting, prompt-injection inspection, and audit logging, while ingesting downstream OpenAPI endpoints as MCP tools.
Intent-based security governance for OpenAI Codex and ChatGPT. Register intent plans before tool calls, apply natural-language policy rules, and get per-request audit logs across all your AI agents.