Enterprise AI Adoption
MCP Governance with data protection: Govern agent tool calls and protect sensitive data
May 28, 2026
See and control AI usage, MCP servers, and tool calls. Empower users with approved AI and MCPs
Narrow the context window for every agent to the tools that fit the task and stay within policy.
Set policy by identity, system, MCP, tool, model, or data. Protect sensitive data before it flows through a tool call.
Know exactly who did what, with which tool, and when, across every user, agent and MCP server.
Connect every model through one endpoint, route to the right one, and fail over when providers go down.
Protect every prompt and response in flight, and stop PII, secrets, and IP from ever reaching an external model.
Set budgets, rate limits, and token caps by user, team, or app, so costs never surprise you.
Track latency, errors, tokens, and cost across every model, with attribution by team, app, or user.
Bring any model provider under the same policies, controls, and audit trail. Swap them anytime without rebuilding governance.
Official, custom, local, or Barndoor-hosted, with the same access controls and audit trail across every MCP server.
See and control AI spend across every model, agent, team, and user. Caps that hold end to end, with full visibility.
One control across the business. Freeze a single agent, a whole team, a model provider, or every AI call at once.
Eric A
Head of Infrastructure & Data, Sumo Logic
A clean AI stack still falls over without an intuitive, powerful AI gateway. That’s exactly what Barndoor delivers: granular, least-privilege access between your AI tools and company systems. You can move fast and have boundaries. The two ideas aren’t in conflict. They are the same idea
Fully managed deployment for fast setup and ongoing updates.
Deployed in your cloud environment to meet security and compliance requirements.
Run entirely within your infrastructure for maximum control and data residency.