Securing the Model Context Protocol: Access, Authorization, and Audit for Enterprise AI
As enterprises operationalize AI and embed LLMs into core workflows, the Model Context Protocol (MCP) has become a critical component for enabling secure, scalable AI integration. Securing the Model Context Protocol: Access, Authorization, and Audit for Enterprise AI unpacks the security risks and governance challenges MCP introduces—and why traditional models fall short in protecting LLM-powered systems. This white paper explores how extending Infrastructure Identity to MCP workflows unifies access control across human, machine, and AI identities—eliminating static credentials, enforcing task-based authorization, and ensuring audit-ready visibility. Download the white paper to learn how your organization can future-proof AI deployments with secure, policy-driven control that scales with innovation.
/ 0
As enterprises operationalize AI and embed LLMs into core workflows, the Model Context Protocol (MCP) has become a critical component for enabling secure, scalable AI integration. Securing the Model Context Protocol: Access, Authorization, and Audit for Enterprise AI unpacks the security risks and governance challenges MCP introduces—and why traditional models fall short in protecting LLM-powered systems. This white paper explores how extending Infrastructure Identity to MCP workflows unifies access control across human, machine, and AI identities—eliminating static credentials, enforcing task-based authorization, and ensuring audit-ready visibility.
Download the white paper to learn how your organization can future-proof AI deployments with secure, policy-driven control that scales with innovation.
Clients
Trusted by leading organizations
