🔐 How do you secure AI applications built with Model Context Protocol (MCP)?
Welcome to Episode 3 of MCP in Action, the live show by C# Corner!
In this episode, Rodrigo Díaz Concha, Microsoft RD and MVP, explores MCP Security and Governance and explains how to build safer, more reliable AI integrations using the Model Context Protocol (MCP).
As AI applications connect to external tools, services, and data sources, security and governance become essential. Learn about the key considerations for protecting MCP-based systems and managing access to tools and resources.
🚀 What You'll Learn
- 🔐 MCP Security Fundamentals: Understand the security challenges of MCP-based applications.
- 🛡️ Authentication and Authorization: Explore identity verification and access control.
- 🔑 Access Control: Understand how to manage permissions for MCP clients, servers, tools, and resources.
- 📋 Security Policies and Governance: Learn why policies and governance matter in AI integrations.
- 🔍 Auditing and Monitoring: Understand the importance of tracking activity and monitoring MCP interactions.
- 🤖 Building Secure AI Applications: Discover important security considerations when connecting AI applications to external tools and data.
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