In today's rapidly evolving digital landscape, the convergence of ethical hacking and generative AI has emerged as a powerful force in countering cybersecurity threats. As malicious hackers adapt and exploit advanced technologies, the need for innovative defenses becomes paramount. This course explores the cutting-edge domain of generative artificial intelligence (AI) and reconnaissance techniques. In this course, you will explore reconnaissance techniques leveraging AI's potential and apply passive and active reconnaissance techniques. Next, you'll explore the challenges and solutions associated with reconnaissance and generative AI and consider the methods used to protect against it. Finally, you'll explore how ethical hackers can use the information obtained during reconnaissance.
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Syllabus
- discover the key concepts covered in this course
- identify reconnaissance techniques and describe the differences between active and passive reconnaissance
- provide an overview of prompt engineering techniques for information gathering
- list different methods and tools used for reconnaissance
- identify the benefits that reconnaissance provides for the ethical hacking process
- use generative AI to summarize information gathered using passive reconnaissance
- use generative AI to analyze information gathered using active reconnaissance
- outline the potential challenges and solutions in reconnaissance
- outline how to protect systems and networks from reconnaissance
- apply prompt engineering to enhance the effectiveness of reconnaissance techniques
- outline how to use the information gathered during the reconnaissance phase
- summarize the key concepts covered in this course