Exploiting and securing AI/MCP systems.

Format:

Video

Contributor:

Khrais, Hussam, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Artificial intelligence.

Automation.

Physical Description:

1 online resource (1 video file (01 hr., 15 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 1-hour course, you'll start by building your first MCP server using Python and FastMCP SDK. Learn how to set up local and remote servers, understand client-server architecture, and integrate your server with the Claude Desktop app. Later, shift to exploiting common vulnerabilities in MCP systems and applying real-world techniques in Docker-based labs. By the end, you'll understand how to both protect and attack AI systems using the latest vulnerabilities. What I Will Be Able to Do After This Course Understand the problem MCP solves and its role in AI systems Build MCP servers in Python using FastMCP SDK with tools & prompts Identify and exploit vulnerabilities like SSRF, Deputy, & injection Gain hands-on experience in penetration testing and security Secure AI infrastructures against common MCP system exploits Course Instructor(s) Hussam Khrais is a cybersecurity expert with over 10 years of experience. He currently works as Staff App Security Engineer at Contentful and has held roles at AWS, Cisco Systems, and more. Hussam shares his expertise in application and cloud security through Udemy courses. Who Is It For? This course is ideal for security engineers, software engineers, and developers looking to secure or attack MCP servers within AI systems. It's also perfect for bug bounty hunters and penetration testers aiming to understand vulnerabilities in AI infrastructures. No prior knowledge of MCP servers is required.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1570888890