MATRA provides an AI platform that secures all Model‑Control‑Protocol (MCP) interactions with enterprise‑grade, defense‑in‑depth controls. It offers granular RBAC, isolated sandbox execution for tool calls, and OAuth 2.1 authentication to ensure end‑to‑end protection of AI applications, data, and workflows across users, tools, and gateways.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying AI platforms face risks of unauthorized access, unsafe tool execution, and insufficient governance over multi‑component interactions, which can lead to data breaches, model misuse, and operational failures.
Solution
MATRA delivers enterprise‑grade security for AI platforms by enforcing defense‑in‑depth controls on every Multi‑Component Platform (MCP) interaction. It provides platform‑level role‑based access control (RBAC) that lets administrators assign granular permissions for AI applications, MCP connections, and tool usage, ensuring users only access authorized resources. All tool calls are executed in isolated code‑mode sandboxes, preventing unsafe operations and protecting the platform from malicious code. End‑to‑end OAuth 2.1 authentication secures communication between the platform, MCP gateway, and servers, guaranteeing that each request is authenticated and authorized. The step‑by‑step execution model exchanges only essential inputs and outputs, avoiding context window overload and maintaining efficient, secure workflows.
Target Audience
Primary customers are enterprise IT and security teams managing AI platforms, as well as data science and engineering groups that require strict governance and safe tool execution within their AI workflows.
Features
- Granular RBAC allowing per‑user and per‑team permissions for AI apps, MCP connections, and tools
- Isolated code‑mode sandboxes for all MCP tool calls, eliminating unsafe execution risks
- OAuth 2.1 authentication and authorization for every interaction between platform, gateway, and servers
- Defense‑in‑depth controls that secure users, tools, and gateways across the entire AI ecosystem
- Step‑wise execution that transmits only necessary data, preventing context window overfilling