Leading Security Teams for GenAI Solutions: Security Implications
Jessica Guzman
Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. The introduction of generative AI has created security, privacy, ethical, and moral implications for everyone involved.
In this course, you will learn how and why generative AI is being used in security attacks, how to put countermeasures in place to defend against these attacks, and how to navigate and mitigate those attacks from happening. You will also explore the ethical and moral concerns that generative AI has created, how privacy plays a role in those concerns, and how to manage those risks. Then you will discover how generative AI can be leveraged by threat actors to perform data breaches, create malware threats, and coordinate social engineering attacks. Next, you will investigate how generative AI can be used maliciously to perform model manipulation and data poisoning.
Finally, you will examine how to enhance protection controls using processes, governance, and ethics, and focus on common considerations for securing AI systems.
Issued on
March 20, 2025
Expires on
Does not expire