Keyboard offers a secure control plane that mediates between corporate data and generative AI models, enabling enterprises to enforce role‑based access controls, sandboxed execution, and comprehensive audit logging across any AI client. By deploying a single MCP server, organizations can connect thousands of pre‑built and custom integrations without exposing credentials, ensuring compliance while supporting AI‑driven automation for employees.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises adopting generative AI face difficulty enforcing security, compliance, and governance across a growing number of AI‑enabled applications. IT and security teams lack a centralized way to control who can access which data and what actions AI models can perform, leading to risk of credential leakage and uncontrolled automation.
Solution
Keyboard provides a secure control plane that sits between corporate data and AI models. By deploying a single MCP server, organizations connect their existing applications to any AI client (e.g., Claude, ChatGPT, Cursor) while keeping credentials out of the model’s runtime. Role‑based access controls let IT and security define precise permissions for each user, team, or role, and sandboxed execution environments ensure that automated workflows run in isolation. All actions are logged for full auditability, giving enterprises visibility and compliance without hindering employee productivity. The platform supports thousands of pre‑built integrations and allows custom connectors, enabling a “one‑setup, works everywhere” experience.
Target Audience
IT and security teams in medium to large enterprises that need to govern AI usage, as well as employees who require secure AI‑powered automation for their daily workflows.
Features
- Universal MCP server that connects to major AI clients (Claude, ChatGPT, Cursor, Gemini, etc.) without exposing credentials
- Role‑based access control (RBAC) for granular permission management across users, teams, and applications
- Sandbox execution environments that isolate AI‑driven automations from production data
- Comprehensive audit logs and data access controls for compliance and visibility
- Out‑of‑the‑box integrations for thousands of enterprise apps plus a framework for custom tool connections
- Single‑setup deployment that propagates policies to every connected AI tool in the organization