Model Context Protocol: Tool Poisoning Attack & Detection Course

The Model Context Protocol (MCP) is an open standard designed to allow Large Language Models (LLMs) to interact with external tools and data sources, transforming them into powerful agents. From querying databases to sending emails, MCP gives AI real-world capabilities. As you might guess, securing this powerful new interface from novel attacks like tool poisoning, where malicious instructions are hidden within a tool's metadata, is a critical and complex task.This course provides hands-on training to defend against these next-generation AI threats. In our MCP Security course, you will tackle real-world security problems in an MCP environment through practical labs. You will learn to find, identify, and mitigate tool poisoning vulnerabilities using open-source tools.Our course is built around guided, hands-on labs that allow you to apply your knowledge in a practical setting. You will gain experience with prompt injection, static and dynamic analysis of tool metadata, and the use of various security tools to detect and prevent these advanced attacks.

Learn the fundamentals of MCP security with our course and gain the practical skills needed to protect modern AI systems.

Intermediate

Hours

Lessons

Cloud Labs

learning path:

AI & LLM Security

Model Context Protocol: Tool Poisoning Attack & Detection

Ideal for

Developer

Security Engineer

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Intermediate

Model Context Protocol: Tool Poisoning Attack & Detection

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Intermediate

Model Context Protocol: Tool Poisoning Attack & Detection

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Or explore these Learning Paths

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