AI+ Ethical Hacker (AI+ Ethical Hacker)

• Establish foundational knowledge in Ethical Hacking, including methodology and legal aspects, as well as understanding hacker types, motivations, and information gathering techniques.
• Introduce AI's role in Ethical Hacking, covering fundamentals, technologies, and applications such as Machine Learning and Natural Language Processing.
• Explore AI tools and technologies for threat detection, penetration testing, and behavioral analysis in Ethical Hacking scenarios.
• Delve into AI-driven reconnaissance techniques, vulnerability assessment, and penetration testing, including automated scanning and fuzz testing.
• Examine the intersection of Machine Learning with threat analysis, behavioral analysis, incident response, identity management, system security, and ethical considerations in AI and Cybersecurity.

Required

• Knowledge of Python, Java, C++,etc for automation and scripting.

• Understanding of networking protocols, subnetting, firewalls, and routing.

• Familiarity with fundamental cybersecurity concepts, including encryption, authentication, access controls, and security protocols.

• Proficiency in using Windows and Linux operating systems.

• Understanding of machine learning concepts, algorithms, and basic implementation.

• Understanding of web technologies, including HTTP/HTTPS protocols, and web servers.

Recommended

• AI+ Executive
• AI+ Everyone

• IT Professional
• Security Analyst

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

Optional Module: AI Agents for Ethical Hacking

• Understanding AI Agents
• Case Studies
• Hands-On Practice with AI Agents