TrueCaaS white paper
The Agent Authorization Gap
The Agent Authorization Gap explores a critical challenge in enterprise AI: ensuring AI agents can only perform actions users are authorized to perform. While MCP standardizes how agents interact with tools, it does not determine whether an action should be allowed.
The Agent Authorization Gap
AI agents are gaining access to customer data, invoices, workflows, and business systems across the enterprise. While protocols such as MCP help agents discover and invoke tools, they do not answer a fundamental question: should the agent be allowed to perform the requested action?
What you will learn
- Why agentic applications create new security challenges
- What MCP solves, and what it does not
- Why authorization must happen before every protected action
- How tenant context, roles, privileges, and policy evaluation work together
- Why auditability is essential for enterprise AI adoption
Download the briefing to learn how organizations can deploy AI agents while maintaining security, governance, and control.