Presented by dotnet, this session details how developers can build secure and intelligent AI agentic applications on Azure using Redis, with focus on security improvements and integration techniques.

Secure and Smart AI Agents with Azure Redis in .NET

Traditional data access methods are evolving with the rise of Large Language Models (LLMs) and AI agentic applications. This session demonstrates:

Latest design patterns for integrating Azure Redis into .NET agentic apps
How to leverage Azure Redis with MCP (Microsoft Cloud Protocol) servers for simplified agentic application development
Enhancements for agent capabilities using Redis-backed tools
The newest security features for Redis in Azure, ensuring data protection and compliance

Key Topics:

Using Azure Redis with MCP Servers

Overview of MCP protocol benefits for scalable, agentic .NET applications
Patterns to streamline agent-to-data communication

Simplifying Agentic Application Development

Techniques to integrate Redis into .NET LLM/AI agent projects
Use cases for real-time data processing and caching
MCP-driven workflows for smart agents

Security Enhancements for Azure Redis

Authentication methods and Azure security updates
Best practices for securing agentic apps using Redis
Compliance measures to protect sensitive data

Resources

Learn and Connect

Upgrade your .NET solutions with robust AI agents using Azure Redis, and take advantage of new security features for safer, smarter applications.