Generative AI and Prompt Engineering for Ethical Hacking Proficiency (Advanced Level)

Topics covered

• assess real-world case studies involving network and perimeter hacking, focusing on the potential impact of generative AI
• conduct a generative AI-assisted simulated hack on a cloud service
• conduct a generative AI-assisted SQL injection attack in a simulated environment, explaining AI-aided countermeasures
• describe different countermeasures against malware and social engineering attacks
• describe how the same AI-informed measures used to safeguard networks can also be leveraged by malicious actors
• describe the importance of network perimeter security and how generative AI strengthens this security
• execute a generative AI-assisted mobile platform hack, showcasing AI-enhanced countermeasures
• explore how to work with GPT models via the OpenAI ChatGPT web app and via the OpenAI API
• identify real-world system hacking scenarios, with a focus on the role of generative AI
• identify techniques used by hackers to maintain access and how these techniques can be detected or enhanced with AI
• leverage generative AI to conduct an effective enumeration, highlighting the efficiency of AI-assisted techniques
• outline how to educate users about the dangers of social engineering and the importance of training
• outline how to evaluate web and database security solutions in light of the evolving threat landscape shaped by generative AI
• outline how to use generative AI in the detection and mitigation of cloud and IoT-based threats
• outline the impact of generative AI in improving or thwarting system hacking techniques
• outline the importance of covering tracks and maintaining access in ethical hacking, focusing on generative AI's potential impact
• outline the potential challenges and solutions in reconnaissance
• outline the role of generative AI in detecting and mitigating attempts to cover tracks
• outline the steps to prepare for the integration of generative AI in attacks
• perform a simple ethical hacking exercise by leveraging generative AI and the OpenAI API to analyze threat intelligence
• perform a simulated social engineering attack and describe how to counter it
• use generative AI and prompt engineering techniques for sophisticated network vulnerability discovery
• use generative AI to analyze information gathered using active reconnaissance
• use generative AI to summarize information gathered using passive reconnaissance