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Are you using MCP servers in your AI applications? You might be at risk.
In this video, we break down a critical security flaw known as Tool Poisoning Attacks—a method that can silently extract sensitive data like API keys, SSH credentials, and more, all by injecting malicious tool descriptions into the context of your LLM.
We’ll explore how these attacks work, real-world examples from tools like Cursor, and what you must do to protect yourself. If you’re building with MCP (Model Context Protocol), this is a must-watch to avoid falling into hidden security traps.
LINK:
https://invariantlabs.ai/blog/mcp-security-notification-tool-poisoning-attacks
https://www.latent.space/p/why-mcp-won
RAG Beyond Basics Course:
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Understanding MCP Server Security Risks: Tool Poisoning Attacks Explained
If you’re using MCP servers, you need to watch this video! I dive deep into security risks, focusing on tool poisoning attacks within the Model Context Protocol. Learn how to protect your AI applications from malicious actions and ensure proper security practices.
00:00 Introduction to MCP Server Security Risks
00:15 Understanding MCP Components
00:33 Tool Definition and Malicious Actions
01:05 Interaction Between Host and MCP Server
02:18 Example of Malicious Tool Execution
03:39 Detailed Analysis of Tool Poisoning
10:48 Shadowing Tool Descriptions and Cross-Server Attacks
14:30 Recommendations for MCP Security
17:33 Conclusion and Final Thoughts Read More Prompt Engineering
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