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AI Security

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May 1, 2024 Updated July 11, 2025 17 minute read

Artificial Intelligence (AI) security is a branch of computer science that focuses on protecting AI systems and their components from unauthorized access, use, disclosure, disruption, modification, or destruction. AI security is important because AI systems are becoming increasingly prevalent and are being used in a wide variety of applications, from self-driving cars to medical diagnosis. As AI systems become more powerful and autonomous, it is important to ensure that they are secure and cannot be used for malicious purposes.

Why Learn AI Security?

There are many reasons why you might want to learn about AI security. Perhaps you are a computer science student who is interested in specializing in this field. Or, you may be a professional who works with AI systems and wants to learn how to protect them from security threats. Whatever your reason, there are many benefits to learning about AI security. Here are a few:

Path to AI Security

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We've curated 18 courses to help you on your path to AI Security. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AI Security.
This practical guide focuses on the business aspects of AI security. It provides actionable steps and strategies for organizations to protect their AI assets and mitigate risks.
Explores the interplay between AI security and data privacy. It examines the legal and ethical considerations, as well as the technical measures, for protecting sensitive data in AI systems.
Provides a comprehensive and accessible introduction to AI security for a non-technical audience. It covers the key concepts, challenges, and future directions in this field.
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