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.
Author Name: Dr. Shaila Rana
Author Description:
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.

Table of Contents

• Course Overview
  1min
• Foundational Principles of Generative AI
  4mins
• Data Validation and Privacy Concerns with Generative AI
  8mins
• Emerging Trends in Privacy-preserving Generative AI
  2mins
• Regulations and Compliance in Generative AI
  6mins