In today's dynamic and evolving digital terrain, the need for robust cybersecurity measures has never been more critical. As technology continues to advance, hackers are constantly adapting their methods, making it imperative for ethical hackers to stay one step ahead. This course explores the convergence of ethical hacking and generative AI, specifically focusing on the scanning and enumeration phase of the ethical hacking process. You will begin by examining the network scanning phase of the ethical hacking process and how generative AI and prompt engineering enhance this process. With a solid foundation, you will then discover ways that prompt engineering can optimize scanning, the risks and benefits of using AI-assisted scanning, and how generative AI can boost various scanning techniques. Finally, you will take a look at realistic examples involving scanning and enumeration techniques, focusing on the role that generative AI plays in these scenarios.
Master AI and Machine Learning: From Neural Networks to Applications
Free courses from frontend to fullstack and AI
Overview
Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
Syllabus
- discover the key concepts covered in this course
- define network scanning and enumeration, illustrating how generative AI and prompt engineering enhance these processes
- describe how generative AI can streamline and augment the use of various tools for scanning and enumeration
- identify ways in which prompt engineering techniques can optimize scanning strategies and output
- conduct a network scan using a popular scanning tool integrated with generative AI
- analyze and evaluate the potentially enriched information obtained from AI-assisted scanning and enumeration
- describe how the same AI-informed measures used to safeguard networks can also be leveraged by malicious actors
- leverage generative AI to conduct an effective enumeration, highlighting the efficiency of AI-assisted techniques
- outline the significance of generative AI and prompt engineering in optimizing scanning and enumeration
- distinguish between various scanning techniques (port scanning, network scanning, and vulnerability scanning), and describe how each can be boosted by generative AI
- analyze case studies involving scanning and enumeration techniques, with a focus on the role of generative AI in these real-world scenarios
- summarize the key concepts covered in this course