Generative AI and Prompt Engineering for Ethical Hacking Mastery (Expert Level)

Topics covered

• analyze case studies involving scanning and enumeration techniques, with a focus on the role of generative AI in these real-world scenarios
• apply prompt engineering to enhance the effectiveness of reconnaissance techniques
• assess real-world case studies of cloud and IoT hacking focusing on the potential impact of generative AI
• assess real-world case studies of covering tracks and maintaining access, focusing on the potential impact of generative AI
• assess real-world case studies of web application and database hacking focusing on the potential impact of generative AI
• conduct a simulated generative AI-driven attack on a wired network, highlighting AI-enhanced prevention methods
• describe real-world case studies involving malware and social engineering
• describe the evolution of malware and social engineering over time
• distinguish between various scanning techniques (port scanning, network scanning, and vulnerability scanning), and describe how each can be boosted by generative AI
• explore how to work with GPT models via the OpenAI ChatGPT web app and via the OpenAI API
• leverage generative AI to report system vulnerabilities and recommend steps for mitigation
• list the potential impacts of not properly covering tracks on a hacking operation
• monitor and analyze wireless network activity using generative AI
• name real-world case studies of mobile platform hacking, focusing on the potential impact of generative AI
• outline how to use the information gathered during the reconnaissance phase
• outline the impact of generative AI in improving or thwarting system hacking techniques
• outline the implications of system hacking on businesses and individuals, considering the transformative effects of generative AI and prompt engineering on these outcomes
• outline trends and advancements in cloud and IoT security and the relevant role of generative AI
• perform a simple ethical hacking exercise by leveraging generative AI and the OpenAI API to analyze threat intelligence
• recognize the implications of maintaining prolonged access to compromised systems
• use generative AI technologies to identify potential attacks
• use generative AI to identify signs of advanced track-covering activities