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.

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.

• 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