In this video, I explain Model Context Protocol (MCP) security and why connecting AI models to real tools fundamentally changes the security conversation.
In this video, we explore: 🔐 Why MCP expands the AI attack surface 🧩 How MCP hosts, servers, tools, and external systems interact ☠️ How malicious tool instructions can manipulate an AI model 🔑 Why credentials and excessive permissions create dangerous blast radiuses 🧠 How prompt injection can become real-world tool execution ✅ When human approval is meaningful—and when it is merely security theatre 📦 Why risky tools should be isolated and sandboxed 📊 What effective MCP logging and audit trails should capture 🛡️ How to apply least privilege and policy enforcement to AI agents
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Watch the complete video: MCP Security Explained, If an AI agent makes a dangerous decision, who should be accountable, the model, the developer, the platform, or the organization?
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