The Model Context Protocol (MCP) enables a single AI agent to connect to multiple, independent tool servers, creating a powerful and integrated experience. This interconnectedness, however, opens the door to a sophisticated attack known as MCP Tool Shadowing. In this scenario, a malicious server can poison the AI's shared context, injecting hidden commands that secretly manipulate the behavior of other, trusted tools connected to the same agent.This course provides hands-on training to defend against these "confused deputy" attacks, where an AI is tricked by one server into misusing the authority of another. In our MCP Security course, you will tackle this complex threat in a practical lab environment. You will learn how to find, identify, and mitigate tool shadowing vulnerabilities using open-source tools and analysis techniques.
Our course is built around guided, hands-on labs that allow you to apply your knowledge in a practical setting. You will gain experience analyzing tool metadata for signs of malicious cross-server influence and learn to use security tooling to monitor and enforce the integrity of tool interactions within a multi-server environment.
Learn the intricacies of this advanced MCP attack with our course and gain the practical skills needed to protect modern, interconnected AI systems from being silently compromised.
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