About Barndoor AI

This company offers an AI infrastructure platform for enterprises to manage and scale AI agent workflows across their organization. The platform provides tools for orchestration, security, data governance, and system integration, enabling enterprises to deploy AI systems while maintaining oversight and control.

```xml <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. </problem> <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. </solution> <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. </features> <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. </target_audience> ```

What does Barndoor AI do?

Where is Barndoor AI located?

Barndoor AI is based in City of New York, United States.

When was Barndoor AI founded?

Barndoor AI was founded in 2024.

How much funding has Barndoor AI raised?

Barndoor AI has raised 13600000.

Location

City of New York, United States

Founded

2024

Funding

13600000

Employees

19 employees

Major Investors

Crosslink Capital

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Barndoor AI

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Executive Summary

barndoor.ai 200+

Crunchbase

Founded 2024 – City of New York, United States

Funding

Estimated Funding

$10M+

Major Investors

Crosslink Capital

Team (15+)

No team information available.

Company Description

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.

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.

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.