Prompt Engineering: Generative AI for Malware & Social Engineering

About this course

In the dynamic digital landscape, cybersecurity is more important than ever. Malicious actors are well aware that people are often the weakest link in an organization's cybersecurity posture. Ethical hackers commit significant effort into penetration testing and strategizing to combat malware and social engineering efforts executed by threat actors. This course journeys deep into the techniques and methodologies employed by ethical hackers to uncover malware and educate users in the ongoing battle against social engineering and how generative artificial intelligence (AI) can assist them in this pursuit. You'll start by exploring the types of malware and social engineering principles and techniques. With this foundation, you'll explore how generative AI can be used to help detect malware and social engineering attacks. You'll discover potential damage that can result from such attacks along with countermeasures that can be taken and then you'll explore proactive efforts to train users about social engineering attacks. You'll investigate how to use generative AI and prompt engineering to counter malware and social engineering, and you'll proceed to explore how malware and social engineering evolve over time. Lastly, you'll examine some real-world case studies that feature malware and social engineering attacks.

Learning objectives

• Discover the key concepts covered in this course
• Describe the various types of malware including viruses, worms, trojans, and ransomware
• Outline the principles and techniques of social engineering