Microsoft Events hosts a session featuring Mike Budzynski and Anish Tallapureddy, focusing on how Azure API Management and AI Gateway helps IT leaders govern and secure multi-model AI workloads at scale.

Govern AI Agents with Azure API Management: Secure, Monitor, and Scale AI Workloads

Presented by: Mike Budzynski & Anish Tallapureddy | Microsoft Ignite 2025

Overview

Enterprises scaling AI require robust governance and security. This session highlights how Azure API Management, together with new AI Gateway features and MCP support, provides IT teams with a unified control plane to:

• Protect sensitive data
• Enforce access and usage policies
• Manage operational costs across various copilots and multi-model AI workloads

Key Topics Covered

1. Introducing API Management & API Center

• Azure API Management and API Center work together to streamline governance for AI-powered applications and tools.
• Both services centralize API registration, access control, and monitoring.

2. Customer Case Study: Access Group’s AI Integration via Azure API Gateway

• Real-world example showing how a large enterprise manages AI agent access and workload scalability.

3. Model Governance Features

• Central enforcement of:
  • Semantic caching
  • Content safety checks
  • Granular logging policies

4. Demonstrating Token Limit Enforcement in API Calls

• Live demo: Limiting API usage via token quotas to control costs and reduce risk.

5. Challenges of Unmanaged AI Tools & Need for Governance

• Risks posed by uncontrolled agent proliferation in enterprise environments.
• Importance of centralized, policy-driven governance for safe AI scaling.

6. Using AI Gateway to Manage Tool Usage

• Mechanisms for mediating and monitoring tool interactions.
• Ensuring agents operate within defined enterprise boundaries.

7. Multi-Type API Registration & Management in API Center

• Efficiently onboard and classify APIs for different AI workloads, copilots, and models.

8. Integration with Microsoft Foundry & AI Gateway Demo

• How API Center and AI Gateway integrate with other Azure services to deliver end-to-end governance and scalability.

9. Live Agent Testing

• Demonstration of agent lifecycle management using sample requests and system feedback.

Key Takeaways

• Azure API Management and AI Gateway serve as the backbone of enterprise-grade AI adoption.
• Policy enforcement and governance protect data and manage costs while ensuring discoverability of services.
• Centralized monitoring enables IT to confidently scale safe AI workloads.

Further Resources:

• Microsoft Ignite AI Sessions
• Learn More: API Management & AI Gateway

Session delivered by Microsoft experts at Microsoft Ignite 2025: “Don’t let your AI agents go rogue, govern with Azure API Management | BRK119”