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Codecademy

Prompt Engineering: GenAI's Impact on Network & Perimeter Ethical Hacking

via Codecademy

Overview

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In the digital era, boundaries are constantly being redefined. Our networks, once clear and tangible, have been blurred by the advent of cloud technology, Internet of Things (IoT), and a myriad of interconnected systems. As these boundaries shift, the methods employed to breach them also evolve. To fortify our defenses and safeguard ever-expanding perimeters, it becomes critical for organizations to harness cutting-edge advancements, such as generative artificial intelligence (AI), to envision, predict, and counteract these emerging threats. Begin by exploring the fundamentals of network and perimeter hacking, typical network attack techniques, and how these attacks can be enhanced using generative AI. You will investigate AI-assisted countermeasures, examine how AI impacts both attack and defensive posture, and assess the effectiveness of network security hardware and software. You will use generative AI for enhanced network vulnerability discovery of wired and wireless networks and conduct a simulated AI-driven attack on a wired network. Finally, you will discover why network and perimeter security is so important and assess real-world case studies involving network and perimeter hacking.

Syllabus

  • discover the key concepts covered in this course
  • describe the fundamentals of network and perimeter hacking
  • identify various attacks on wired and wireless networks
  • outline artificial intelligence (AI)-aided countermeasures designed to protect networks and their perimeters
  • describe how generative AI can enhance various types of attack
  • outline how generative AI and prompt engineering can bolster both attack and defense strategies
  • describe the effectiveness of network security hardware and software against AI-enhanced attack
  • use generative AI and prompt engineering techniques for sophisticated network vulnerability discovery
  • describe the importance of network perimeter security and how generative AI strengthens this security
  • assess real-world case studies involving network and perimeter hacking, focusing on the potential impact of generative AI
  • monitor and analyze wireless network activity using generative AI
  • conduct a simulated generative AI-driven attack on a wired network, highlighting AI-enhanced prevention methods
  • summarize the key concepts covered in this course

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