Barndoor is the agentic AI control plane built for Mid-Market and Enterprise organizations that need to govern AI adoption without slowing it down. Security and IT teams use Barndoor to enforce access policies, inspect AI traffic, control costs, and maintain continuous audit visibility across every large language model (LLM) call and Model Context Protocol (MCP) tool connection in their environment.
Unlike point solutions that address only LLM routing or only MCP security, Barndoor unifies both in a single control plane — giving security teams one place to set policy, one place to prove compliance, and the flexibility to integrate with any LLM provider, any MCP server regardless of where it's hosted, and your existing security stack.
Core Capabilities:
- Agentic governance at runtime — enforce rules at the point of AI action, not after the fact
- Multi-model routing and load balancing — credential management, rate limiting, and failover across 100+ LLM providers
- MCP access control — identity-aware governance for every MCP tool connection and agent action
- Cost controls and spend management — set budgets, enforce rate limits, and track AI spend by user, team, or application
- Data protection — detect and protect PII and sensitive data on every prompt and response before it leaves your environment
- Audit logs and compliance reporting — full audit trail of every AI action for security reviews and regulatory requirements
- Real-time observability — monitor LLM usage, MCP tool calls, latency, cost, and policy decisions in one dashboard
- Flexible integrations — works with any LLM provider, any MCP server regardless of where it's hosted, and connects into your existing security stack including SIEM, IdP, and enterprise tools
