AIFLX

Library / Artificial Intelligence

OWASP MCP Top 10: Model Context Protocol AI Security Pro

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About this course

This course contains the use of artificial intelligence.

Every AI agent you connect to a tool, file system, or API through MCP is a new door into your infrastructure — and most teams haven't locked it yet.

Who this course is for:

  • Security engineers and AppSec professionals moving into AI/agentic security
  • Developers building or integrating MCP servers into production LLM apps

DevSecOps and platform teams responsible for approving third-party AI toolsCISOs, security leads, and IT managers who need a governance framework, not just theory

Anyone pursuing AI Security Engineer or Agentic AI Red Teamer career paths

What you will learn:

  • The full MCP architecture: hosts, clients, servers, and transport layers
  • All 10 OWASP MCP Top 10 risk categories, explained with real attack demonstrations
  • How tool poisoning and "rug pull" attacks silently compromise trusted tools
  • How indirect prompt injection turns a resource file into an attack vector
  • How to enforce least-privilege scopes and eliminate excessive agency
  • How to harden authentication and authorization between host, client, and server
  • How to sandbox tool execution to contain code injection and RCE risk
  • How to build audit logging and monitoring that survives a real incident
  • How to build an internal MCP governance policy and vendor risk process

How to run a full security assessment on a live MCP deployment (capstone project)Requirements:

Basic familiarity with APIs, JSON, or YAML (no advanced coding required)No prior AI security experience needed — concepts are built from the ground upA computer able to run Docker for the hands-on labs

Final project:

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