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Codecademy

Prompt Engineering: Web Application & Database Hacking in the Age of GenAI

via Codecademy

Overview

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This course is a comprehensive journey into the tools and techniques available to ethical hackers to discover vulnerabilities and weaknesses in web applications and databases. Particular attention will be paid to how generative artificial intelligence (AI) can help in the discovery and mitigation of attacks on these technologies, including those enhanced by integrating AI in the attack. You'll start by exploring common web application and database vulnerabilities and how they are exploited and mitigated. You'll also examine common database hacking techniques. Next, you will explore how generative AI can be applied to enhance the security of web applications and databases and you will conduct a generative AI-assisted SQL injection attack in a simulated environment. Then, you'll explore strategies to secure Web applications and databases and use generative AI and prompt engineering to detect and address vulnerabilities in a web application. You'll explore the implications of AI-enhanced Web and database hacking and consider the importance of regular updates and patches. Lastly, you'll review and assess real-world case studies of web application and database hacking and focus on the potential impact of generative AI on such attacks.

Syllabus

  • discover the key concepts covered in this course
  • list common vulnerabilities in web applications
  • outline how generative artificial intelligence (AI) and prompt engineering could potentially exploit or mitigate web application vulnerabilities
  • list common vulnerabilities in databases
  • outline how generative AI and prompt engineering could potentially exploit or mitigate database vulnerabilities
  • outline common database hacking techniques in the context of generative AI
  • outline how generative AI and prompt engineering can be applied to enhance the security of web applications and databases
  • conduct a generative AI-assisted SQL injection attack in a simulated environment, explaining AI-aided countermeasures
  • outline how to evaluate web and database security solutions in light of the evolving threat landscape shaped by generative AI
  • outline strategies to secure web applications and databases, focusing on how generative AI and prompt engineering can bolster these strategies
  • employ generative AI and prompt engineering to detect and address vulnerabilities in a web application
  • outline the implications of web application and database hacking in an AI-enhanced threat environment
  • recognize the importance of regular updates and patches in web and database security in the context of AI-driven threats
  • assess real-world case studies of web application and database hacking focusing on the potential impact of generative AI
  • summarize the key concepts covered in this course

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