Prompt Engineering for Ethical Hacking E-Learning

This learning takes the robust and well-regarded framework of the Ethical Hacking certification and introduces an innovative twist. While the core principles and concepts of ethical hacking remain, we’ve creatively woven in the cutting-edge technologies of Prompt Engineering and Generative AI, providing a fresh perspective to this critical domain of cybersecurity. Our goal is to extend the traditional curriculum, integrating AI capabilities into each course, thereby creating a learning journey that not only covers the essentials for ethical hacking but also the ever-growing influence of AI in this field.
We recognize that the cybersecurity landscape is in constant flux and that new technologies are continually shaping the threats and opportunities we face. We have been clever in merging these two complex areas, reinterpreting the Ethical Hacking journey through the lens of Generative AI and Prompt Engineering.

This Learning Kit with more than 12:35 hours of learning is divided into three tracks:

Courses:

Prompt Engineering: Ethical Hacking & Generative AI Fusion

In our increasingly digital world, the convergence of ethical hacking and generative AI technologies has become a crucial frontier in cybersecurity. As technology advances, so do the methods employed by hackers, making it essential for ethical hackers, or white hat hackers, to stay one step ahead. This course introduces you to the exciting world of ethical hacking and generative AI technologies.

Course: 1 Hour, 20 Minutes

• Course Overview
• Generative AI and Prompt Engineering
• Importance of Ethical Hacking
• Impact of Generative AI on Ethical Hacking
• Generative AI Applied to Hacking Phases
• Risks and Benefits of Using Generative AI
• Ethical Considerations and Legality
• The Role of Ethical Hacker
• Importance of High Ethical Standards
• How to Prepare for Generative AI in Attacks
• Working with GPT Models
• Performing an Ethical Hacking Exercise
• Identify Potential Attacks
• Course Summary

Prompt Engineering: Generative AI for Reconnaissance

In today's rapidly evolving digital landscape, the convergence of ethical hacking and generative AI has emerged as a powerful force in countering cybersecurity threats. As malicious hackers adapt and exploit advanced technologies, the need for innovative defenses becomes paramount. This course explores the cutting-edge domain of generative artificial intelligence (AI) and reconnaissance techniques.

Course: 52 Minutes

• Course Overview
• Reconnaissance Techniques
• Prompt Engineering for Information Gathering
• Methods and Tools for Reconnaissance
• Benefits of Reconnaissance to Ethical Hacking
• Performing Passive Reconnaissance
• Performing Active Reconnaissance
• Challenges and Solutions in Reconnaissance
• Protecting Against Reconnaissance
• Prompt Engineering for Reconnaissance
• Apply Information From Reconnaissance
• Course Summary

Prompt Engineering: Generative AI for Scanning & Enumeration

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.

Course: 1 Hour, 6 Minutes

• Course Overview
• Network Scanning and Enumeration
• Combine Scanning Tools and Generative AI
• Prompt Engineering to Optimize Scanning
• Performing Scans Leveraging Generative AI
• Information Quality and AI-assisted Scanning
• AI-informed Measures and Risk of Exploitation
• Leveraging Generative AI for Enumeration
• Significance of Generative AI
• How Scanning Techniques Are Improved
• Case Studies Involving Scanning and Enumeration
• Course Summary

Prompt Engineering: Generative AI for System Hacking

Ethical hackers are key to maintaining a robust cybersecurity posture, and must commit to continuous improvement to stay ahead of malicious actors. This course provides an immersive journey into the techniques and methodologies employed by ethical hackers to protect and secure systems while focusing on generative artificial intelligence (AI) as a transformative resource in the hacking toolchain.

Course: 1 Hour, 9 Minutes

• Course Overview
• System Hacking and Generative AI
• Enhancing Attacks with Generative AI
• Calculating CVSS Score for System Vulnerabilities
• Best Practices to Protect Against System Hacking
• How Generative AI Protects Against System Hacking
• Using Generative AI to Drive Penetration Tests
• Real-world System Hacking Scenarios
• Impact of Generative AI on System Hacking
• Generating Vulnerability Reports and Recommendations
• Transformative Potential of Generative AI
• Course Summary

Prompt Engineering: Generative AI for Malware & Social Engineering

This course journeys deep into the techniques and methodologies employed by ethical hackers to uncover malware and educate users in the ongoing battle against social engineering and how generative artificial intelligence (AI) can assist them in this pursuit.

Course: 1 Hour, 5 Minutes

• Course Overview
• Types of Malware
• Social Engineering
• Generating Phishing Emails
• Detecting Social Engineering Attacks
• Potential Damage From Attack
• Countermeasures Against Attack
• User Training on Social Engineering Attacks
• Conducting a Social Engineering Attack
• The Evolution of Malware and Social Engineering
• Real-world Case Studies
• Course Summary

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

Begin by exploring the fundamentals of network and perimeter hacking, typical network attack techniques, and how these attacks can be enhanced using generative AI.

Course: 1 Hour, 22 Minutes

• Course Overview
• Fundamentals of Network and Perimeter Hacking
• Types of Attacks on Networks
• AI-aided Countermeasures Against Attack
• Enhanced Attacks Employing Generative AI
• Impact on Attack and Defensive Strategies
• Network Security Hardware and Software
• Enhancing Wired Network Vulnerability Discovery
• The Importance of Network Perimeter Security
• Network and Perimeter Hacking Case Studies
• Monitoring and Analyzing Wireless Network Activity
• Performing Generative AI-driven Attacks
• Course Summary

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

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.

Course: 1 Hour, 47 Minutes

• Course Overview
• Common Web Application Vulnerabilities
• Exploiting and Mitigating Web Vulnerabilities
• Common Database Vulnerabilities
• Exploiting and Mitigating Database Vulnerabilities
• Common Database Hacking Techniques
• Enhanced Web and Database Security
• Performing AI-assisted SQL Injection Attacks
• Web and Database Security Solutions
• Strategies to Secure Web Applications and Databases
• Detecting Web Application Vulnerabilities
• Implications of AI-enhanced Web and Database Hacking
• The Importance of Regular Updates and Patches
• Web and Database Hacking Case Studies
• Course Summary

Prompt Engineering: Cloud Computing & IoT Hacking in the Era of GenAI

This course dives deep into the interplay between Cloud computing, IoT, and generative artificial intelligence (AI), shedding light on their collective vulnerabilities and potential and demonstrating how generative AI can be both a formidable adversary and a powerful ally.

Course: 1 Hour, 43 Minutes

• Course Overview
• Common Cloud Service Vulnerabilities
• Cloud Service Exploitation and Protection
• Common IoT Device Vulnerabilities
• IoT Device Exploitation and Protection
• Cloud and IoT Device Hacking Methods
• Mitigation of Cloud and IoT-based Threats
• AI-assisted Hacking of Cloud Services
• Security Best Practices for Cloud and IoT Devices
• Evaluating Generative AI Security Measures
• Identifying and Mitigating IoT Vulnerabilities
• Trends and Advancements in Cloud and IoT Security
• Cloud and IoT Hacking Case Studies
• Course Summary

Prompt Engineering: Mobile Platform Security in the GenAI Era

With AI-driven functionalities at the forefront of mobile technology innovation, understanding the security implications and nuances is paramount. In this course, explore common mobile platform vulnerabilities and utilize generative AI to bolster mobile security measures.

Course: 1 Hour, 13 Minutes

• Course Overview
• Common Vulnerabilities in Mobile Platforms
• Mobile Platform Hacking Techniques
• Mitigate and Exploit Mobile Vulnerabilities
• Enhancing Mobile Platform Security Measures
• Executing an AI-assisted Mobile Platform Hack
• Evaluate Mobile Platform Security Measures
• Educate Users about Mobile Platform Security
• Identifying and Patching Mobile App Vulnerabilities
• The Impact of AI-enhanced Mobile Platform Hacking
• The Importance of Regular Updates and Patches
• Mobile Platform Hacking Case Studies
• Course Summary

Prompt Engineering: Covering Tracks with GenAI

This course examines the fusion of traditional stealth techniques in hacking with the cutting-edge capabilities of generative AI, looking at how generative AI can be harnessed to leave no digital footprint, ensuring prolonged access to compromised systems.

Course: 58 Minutes

• Course Overview
• The Importance of Covering Tracks
• Techniques Used by Hackers to Maintain Access
• Detect and Mitigate Attempts to Cover Tracks
• Using Generative AI to Help Cover Tracks
• The Impact of Failing to Cover Tracks
• Identifying Advanced Track Covering Activities
• Implications of Maintaining Prolonged Access
• Case Studies Involving Covering Tracks
• Course Summary

Assessment:

Final Exam: Prompt Engineering for Ethical Hacking