Ethical Hacking and AI Security

Module 1: Introduction to Ethical Hacking and AI Security

• Lesson 1.1: Introduction to Cybersecurity
• Lesson 1.2: Ethical Hacking: Principles and Practices
• Lesson 1.3: The Role of Ethical Hacking in Enhancing Security
• Lesson 1.4: Real-World Examples of Ethical Hacking in Cybersecurity

Module 2: Legal and Ethical Frameworks for Ethical Hacking

• Lesson 1.1: Understanding Cybersecurity Laws and Regulations
• Lesson 1.2: The Ethics of Hacking: Legal Boundaries and Responsibilities
• Lesson 1.3: Key Regulations Governing Ethical Hacking Globally
• Lesson 2.1: AI and Ethics: A Broad Overview

Module 3: AI-Driven Threat Detection

• Lesson 1.1: AI in Threat Detection: An Overview
• Lesson 1.2: Machine Learning Algorithms for Cyber Threat Detection
• Lesson 1.3: Advanced Threat Detection Using Deep Learning
• Lesson 1.4: Real-World AI-Driven Threat Detection Examples

Module 4: Penetration Testing with AI

• Lesson 1.1: Introduction to Pen Testing: Purpose and Scope
• Lesson 1.2: The Stages of a Pen Test: A Detailed Breakdown
• Lesson 1.3: Pen Testing Methodologies and Standards
• Lesson 2.1: The Role of AI in Automating Pen Testing

Module 5: Exploiting Vulnerabilities in AI Systems

• Lesson 1.1: Understanding AI Model Vulnerabilities
• Lesson 1.2: Adversarial Attacks: Techniques and Implications
• Lesson 1.3: Model Stealing Attacks: How They Work
• Lesson 1.4: Case Studies of Adversarial and Model Stealing Attacks

Module 6: AI for Phishing Detection and Prevention

• Lesson 1.1: Introduction to Phishing Detection
• Lesson 1.2: Machine Learning Techniques for Phishing Detection
• Lesson 1.3: AI-Based Tools for Anti-Phishing
• Lesson 2.1: Real-Time Threat Detection with AI

Module 7: Adversarial Machine Learning

• Lesson 1.1: Introduction to Adversarial Machine Learning
• Lesson 1.2: Evasion Attacks: How They Impact Models
• Lesson 1.3: Poisoning and Model Inversion Attacks Explained
• Lesson 2.1: Adversarial Training: Strengthening AI Models