CourseTechnology
Practical Cybersecurity Fundamentals: Unit 5
By External Provider
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.
What you will learn
- Understand AI security fundamentals and the importance of securing AI implementations.
- Identify and mitigate AI-specific threats using frameworks like MITRE ATLAS.
- Master secure AI development practices, including privacy-preserving techniques and model resilience.
- Navigate the ethical and legal landscape of AI, ensuring compliance with emerging regulations.