As AI agents gain the power to orchestrate complex workflows, calling external APIs, querying data stores, and triggering automated actions via the Model Context Protocol (MCP), simply verifying identity is no longer enough. In this webinar, we’ll explore how dynamic, policy-driven authorization closes the security gap beyond basic authentication, ensuring that every MCP request is evaluated in context, in real time.
What You’ll Learn:
- Why Authentication Alone Falls Short
Understand the risks of unchecked MCP calls: from inadvertent data exposure to unauthorized system changes.
- Principles of Dynamic Authorization
Discover how attribute- and context-based policies adapt permissions on the fly, factoring in user role, session attributes, environment posture, and risk signals.
- MCP-Specific Challenges & Solutions
See how MCP’s flexible “tool invocation” model expands your attack surface, and learn patterns for intercepting, evaluating, and enforcing granular controls at each request.
- Live Demo: Enforcing Zero-Trust for AI Agents
Watch a live policy flow in action: blocking unauthorized tool calls, scoping data retrieval to least-privilege, and elevating decisions based on dynamic context (time, location, risk score).
Join us to secure the future, where authorization becomes the gatekeeper for safe, compliant, and trustworthy MCP-powered agent deployments.