Barndoor AI provides a control plane for securing agentic AI by enforcing fine-grained access governance across AI actions and tools. The platform delivers runtime policy enforcement and context filtering, ensuring AI operates within defined boundaries connected to MCP-enabled systems. This allows enterprises to manage AI at scale with continuous oversight and complete visibility into every agentic operation.
Funding
$13.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises deploying AI agents face challenges in maintaining control over access, enforcing policies, and monitoring agent activities, leading to potential security risks and compliance issues. Existing IT systems are not designed to manage the nuances and scale of agentic AI, leaving sensitive data vulnerable to unchecked access and actions.
Solution
Barndoor AI provides a centralized control plane that enables enterprises to govern their AI workforce by managing access, enforcing policies, and providing visibility across all AI agent activities. The platform offers context-aware controls, allowing administrators to define granular permissions based on the user operating the agent, their role, and the specific action being taken. By integrating with existing identity systems and security tools, Barndoor ensures that every AI agent request is inspected and authorized before it reaches critical systems or alters data. This approach allows organizations to scale AI adoption safely, maintain compliance, and prevent costly mistakes associated with ungoverned AI agents.
Target Audience
Barndoor AI targets enterprise IT and security teams responsible for governing AI deployments, as well as business teams seeking to adopt AI tools without compromising security or compliance.
Features
- Context-based access controls: Define agent permissions based on user role, agent function, and intended action.
- No-code/code flexibility: Set policies using a no-code UI or scripted via JSON.
- Dynamic policy management: Review agent access and adjust safeguards as needed.
- Real-time monitoring and alerts: Gain visibility into agent behavior with immutable logs and drift detection.
- Secure MCP server integration: Connect agents to services using secure MCP servers and existing IAM/SSO providers.
- Support for internally developed AI apps and third-party clients like Claude, Cursor, and VS Code.
- Integration with identity systems, security tools, and workflows.