MCP and AI Agents: Identity Strategies for Safe API Access

AI technologies are advancing fast, bringing both new opportunities and new challenges for digital businesses. There is the potential to expose your data to many new clients and users, thereby extending the reach of your business. The speed and sophistication with which AI agents execute also introduces new security threats.

The Model Context Protocol (MCP) is a new open standard that enables AI systems to connect to external data and tools through standardized APIs. But without a clear security model, deployments risk exposing sensitive data and infrastructure to new threats.

In this webinar, we present practical design patterns for securing AI agent connections to APIs. You’ll learn how to embrace innovation while protecting your data, your users and your brand reputation.

Join this live session to explore:

• Why interoperable security standards are essential for APIs to integrate into the AI ecosystem
• How to build and deploy an MCP server and run an MCP authorization flow
• How to design security boundaries and provide APIs with dynamic context for AI use cases
• Methods to authenticate AI agents and establish trust across organizations
• Techniques for applying human approval and enforcing time-limited access for AI agents