Practical Cybersecurity Fundamentals: Unit 5
About this course
This course introduces AI security and explores how AI technologies such as ChatGPT and DALL-E are transforming industries and the critical role of security in these implementations. You'll learn about myriad threats facing AI systems, including data poisoning and model inversion attacks, and learn to defend against these using the MITRE ATLAS framework. You'll cover the principles of secure AI development, emphasizing privacy-preserving techniques, model resilience, and adherence to emerging regulations. By the end of this course, you will have a comprehensive understanding of how to develop and secure AI systems ethically and effectively.
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What you'll learn
- understand AI security principles
- identify threats to AI systems
- apply the MITRE ATLAS framework for security
- develop privacy-preserving AI solutions
- navigate emerging AI regulations
Course objectives
- introduce AI security concepts
- examine threats facing AI technologies
- teach strategies for securing AI applications
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