AI Gateway

How do you give teams the freedom to build with AI without giving up control? In this webinar, we explore the role of AI gateways, the capabilities they provide, and how to assess which approach fits your organization.

AI is changing what integration teams need to manage

Growing use of AI is creating a new set of integration questions. How to manage access, security, costs, and AI traffic in a consistent way?

An AI gateway can provide a common layer for visibility and governance. Depending on the technology, gateway capabilities can include model routing and failover, Model Context Protocol (MCP) enablement and security, Agent-to-Agent (A2A) security, token management, and prompt security.

Many of these capabilities can be built using existing API management and integration technologies, or implemented separately within individual AI solutions.

In this webinar, we discuss the AI agent landscape and whether there is a missing layer in your AI and integration architecture. We will also showcase Azure AI Gateway as an example implementation.

In the webinar, we're going to discuss:

What new capabilities are needed in AI Agent landscape
How do MCP and A2A protocols work together
The need for an AI gateway
Where does AI gateway stand in your architecture
Custom solution vs. native AI gateway (build vs. buy)
Examples of AI gateway vendors
Showcase of Azure AI Gateway as an example implementation.

Who should participate?

This is a rather technical webinar, aimed at:

Enterprise and solution architects
Integration architects and specialists
AI development teams and AI centers of excellence
API management teams
CIOs and IT leaders responsible for scaling AI across the organization.

Speakers

Janne Nieminen

Integration Architect, Digia

Janne has worked for over 15 years as an application integration architect, utilizing a wide range of integration technologies. Currently, Janne is particularly interested in modern cloud integrations, integration security, and AI in integration environments.

Mika Mikkonen

Integration Architect, Digia

Mika has worked in enterprise integration and API solutions for 15 years. He serves as the tech lead for Azure API Management and supports the adoption of modern AI gateway capabilities across enterprise organizations.

Register now

Can't make it? Register anyway, and you'll receive the recording after the webinar.