Security Risks and Privacy Concerns Using Generative AI
Generative AI has the profound ability to impact and influence cybersecurity, yielding both favorable and adverse consequences. This course will teach you foundational aspects of generative AI and its implications on data and privacy concerns and how to remediate them.
What you'll learn
In today’s current cyber landscape, threats are constantly evolving, and it is more important than ever to stay up to date on the latest security trends. Generative AI has the profound ability to impact and influence the cyber field, yielding both favorable and adverse consequences. Some of these issues include data validation and privacy concerns. In this course, Security Risks and Privacy Concerns Using Generative AI, you will learn about the intersection of generative AI and cybersecurity. First, you’ll explore the foundational principles of generative AI and how it interacts with security principles. Next, you will discover data validation and privacy concerns using generative AI. Finally, you will learn about current regulations and compliance considerations when utilizing generative AI. When you’re finished with this course, you will understand the remediation for current risks and security concerns as it relates to security and privacy in generative AI.
Table of contents
About the author
Dr. Shaila Rana is the Founder of CyberSecure and the Co-Founder of ACT Research Institute. Dr. Rana also serves as a Graduate Professor of Information Technology and Cybersecurity. She holds a PhD specializing in Information Systems Security and holds an MS in Cybersecurity. She has a background consisting of both education and industry experience. Her passion is to help people protect themselves, their families, and their communities against cyber threats and attacks.