- Foundation of Ethical Hacking Using Artificial Intelligence (AI)
Introduction to Ethical Hacking Ethical Hacking Methodology Legal and Regulatory Framework Hacker Types and Motivations Information Gathering Techniques Footprinting and Reconnaissance Scanning Networks Enumeration Techniques
- Introduction to AI in Ethical Hacking
AI in Ethical Hacking Fundamentals of AI AI Technologies Overview Machine Learning in Cybersecurity Natural Language Processing (NLP) for Cybersecurity Deep Learning for Threat Detection Adversarial Machine Learning in Cybersecurity AI-Driven Threat Intelligence Platforms Cybersecurity Automation with AI
- AI Tools and Technologies in Ethical Hacking
AI-Based Threat Detection Tools Machine Learning Frameworks for Ethical Hacking AI-Enhanced Penetration Testing Tools Behavioral Analysis Tools for Anomaly Detection AI-Driven Network Security Solutions Automated Vulnerability Scanners AI in Web Application AI for Malware Detection and Analysis Cognitive Security Tools
- AI-Driven Reconnaissance Techniques
Introduction to Reconnaissance in Ethical Hacking Traditional vs. AI-Driven Reconnaissance Automated OS Fingerprinting with AI AI-Enhanced Port Scanning Techniques Machine Learning for Network Mapping AI-Driven Social Engineering Reconnaissance Machine Learning in OSINT AI-Enhanced DNS Enumeration & AI-Driven Target Profiling
- AI in Vulnerability Assessment and Penetration Testing
Automated Vulnerability Scanning with AI AI-Enhanced Penetration Testing Tools Machine Learning for Exploitation Techniques Dynamic Application Security Testing (DAST) with AI AI-Driven Fuzz Testing Adversarial Machine Learning in Penetration Testing Automated Report Generation using AI AI-Based Threat Modeling Challenges and Ethical Considerations in AI-Driven Penetration Testing
- Machine Learning for Threat Analysis
Supervised Learning for Threat Detection Unsupervised Learning for Anomaly Detection Reinforcement Learning for Adaptive Security Measures Natural Language Processing (NLP) for Threat Intelligence Behavioral Analysis using Machine Learning Ensemble Learning for Improved Threat Prediction Feature Engineering in Threat Analysis Machine Learning in Endpoint Security Explainable AI in Threat Analysis
- Behavioral Analysis and Anomaly Detection for System Hacking
Behavioral Biometrics for User Authentication Machine Learning Models for User Behavior Analysis Network Traffic Behavioral Analysis Endpoint Behavioral Monitoring Time Series Analysis for Anomaly Detection Heuristic Approaches to Anomaly Detection AI-Driven Threat Hunting User and Entity Behavior Analytics (UEBA) Challenges and Considerations in Behavioral Analysis
- AI Enabled Incident Response Systems
Automated Threat Triage using AI Machine Learning for Threat Classification Real-time Threat Intelligence Integration Predictive Analytics in Incident Response AI-Driven Incident Forensics Automated Containment and Eradication Strategies Behavioral Analysis in Incident Response Continuous Improvement through Machine Learning Feedback Human-AI Collaboration in Incident Handling
- AI for Identity and Access Management (IAM)
AI-Driven User Authentication Techniques Behavioral Biometrics for Access Control AI-Based Anomaly Detection in IAM Dynamic Access Policies with Machine Learning AI-Enhanced Privileged Access Management (PAM) Continuous Authentication using Machine Learning Automated User Provisioning and De-provisioning Risk-Based Authentication with AI AI in Identity Governance and Administration (IGA)
- Securing AI Systems
Adversarial Attacks on AI Models Secure Model Training Practices Data Privacy in AI Systems Secure Deployment of AI Applications AI Model Explainability and Interpretability Robustness and Resilience in AI Secure Transfer and Sharing of AI Models Continuous Monitoring and Threat Detection for AI
- Ethics in AI and Cybersecurity
Ethical Decision-Making in Cybersecurity Bias and Fairness in AI Algorithms Transparency and Explainability in AI Systems Privacy Concerns in AI-Driven Cybersecurity Accountability and Responsibility in AI Security Ethics of Threat Intelligence Sharing Human Rights and AI in Cybersecurity Regulatory Compliance and Ethical Standards Ethical Hacking and Responsible Disclosure
- Capstone Project
Case Study 1: AI-Enhanced Threat Detection and Response Case Study 2: Ethical Hacking with AI Integration Case Study 3: AI in Identity and Access Management (IAM) Case Study 4: Secure Deployment of AI Systems
, Foundation of Ethical Hacking Using Artificial Intelligence (AI), Introduction to AI in Ethical Hacking, AI Tools and Technologies in Ethical Hacking, AI-Driven Reconnaissance Techniques, AI in Vulnerability Assessment and Penetration Testing, Machine Learning for Threat Analysis, Behavioral Analysis and Anomaly Detection for System Hacking, AI Enabled Incident Response Systems, AI for Identity and Access Management (IAM), Securing AI Systems, Ethics in AI and Cybersecurity, Capstone Project, Optional Module: AI Agents for Ethical Hacking
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