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. This briefing explains why authorization, policy enforcement, and auditability must become core components of every agent-driven architecture.
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?
This executive briefing introduces the Agent Authorization Gap—the space between what an AI agent can technically do and what a user is actually permitted to do.
You'll 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.