Building ‍Security into AI – Tutorial

freeCodeCamp.org · Beginner ·🛠️ AI Tools & Apps ·11mo ago

Key Takeaways

Building security into AI systems from the ground up, covering threat models, input manipulation, and data output concerns, with a focus on practical defenses against emerging AI threats using tools like APIsec University.

Original Description

This course teaches you how to design AI systems with security in mind from day one. You'll learn how AI risks differ from traditional software, how to create effective threat models, and how to analyze real-world AI breaches. The curriculum covers input manipulation, data output concerns, and practical defenses against emerging AI threats. Robert Herbig from APIsec University created this course. Access the course with certificate here: https://www.apisecuniversity.com/courses/building-security-into-ai Modules: 0:00:00 Introduction to Building Security into AI 0:07:28 Threat Model 0:35:14 Input Manipulation 1:08:54 Data Output Concerns ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
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This tutorial teaches you how to build security into AI systems from the start, covering key concepts like threat models, input manipulation, and data output concerns, and providing practical defenses against emerging AI threats.

Key Takeaways
  1. Create a threat model for your AI system
  2. Identify potential input manipulation vulnerabilities
  3. Analyze data output concerns and implement defenses
  4. Develop practical defenses against emerging AI threats
💡 Building security into AI systems from the ground up is crucial to preventing breaches and protecting sensitive data.

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Chapters (4)

Introduction to Building Security into AI
7:28 Threat Model
35:14 Input Manipulation
1:08:54 Data Output Concerns
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